ctmm 1.3.0 (2025-07-23)

new revisitation() mean revisitation rate estimate
sdm.fit() and sdm.select() now support camera-trap and other count data
emulate() and simulate() can now draw individual ctmms from an estimated population
new dispatch method projection()<- for ctmm class objects
new functions pd.solve(), pd.logdet(), pd.sqrtm() for covariance matrix operations
new default method “ECDF” for function encounter()
periodic mean functions now estimate frequency
periodic mean summary now uses beta CIs
mean.ctmm() now works on periodic means
new mean.ctmm() argument ‘formula’ for functional response estimation
new grid argument dr.fn in akde(), occurrence(), pkde()
as.telemetry() now imports ATLAS error ellipses
new ctmm.boot() argument ‘clamp’
new convex argument ‘options’
new geometric mean ratio estimates in meta() and improvements for small DOFs
mean() of occurrence() now time weighted by default
mean() can now accept non-stationary mean models
new plot method: plot.ctmm()
new outlie() argument ‘units’
plot() argument ‘col.DF’ renamed to ‘col.UD’
speedups in Kalman filter for irregularly sampled
improvements in ctmm.fit() method=“pREML” on unsupported parameters
improvements DOF[area] calculations in mean() and pkde()
improvement to optimizer() when initial guess is on a boundary and hessian is bad
improvements to Argos-GPS importing in as.telemetry()
bugfix in annotate() by=“sundial”
bugfix in plot.telemetry() argument error=3
bugfix in speed() for nearly fractal movement models
bugfix in polygon export from bad output from grDevices::contourLines()
bugfixes in rsf.select with formulas
bugfix in raster factor expansion with more than one raster factor
bugfix in normal meta-analysis REML correction
bugfixes in suitability with grid projection, NA raster values, and categorical variables
bugfixes in mean.ctmm()
bugfix in contour exports with convex=TRUE
bugfix in transition()

ctmm 1.2.0 (2023-09-22)

new function names: cde() and encounter() replacing encounter() and rates()
new functions rsf.select(), intensity()
new functions sdm.fit(), sdm.select()
new function writeVector(), depreciating function writeShapefile()
new function funnel() for funnel plots
new function midpoint()
new population covariance models and improved model selection in mean.ctmm()
new argument ‘sqrt’ in distance()
new argument ‘dt.hot’ in as.telemetry()
new argument ‘variable’ in Log()
new argument ‘compute’ in ctmm.loglike()
new argument ‘t’ in proximity()
as.telemetry() now supports GBIF format data
as.telemetry() datum argument now works on UTM import, and is no longer to a be a complete PROJ string
as.telemetry() timeformat=‘auto’ now default
as.telemetry(), plot.telemetry(), rsf.fit() updated from sp to sf transforms
distance() can now take location arguments
plot.telemetry() col.DF & col.level arguments can now be color() lists
suitability() now produces a raster stack corresponding to the CIs
suitability() on population RSFs now outputs the population suitability
suitability() extrapolation disabled
bugfix in tbind for conflicting location classes
bugfix in suitability()
bugfix in distance() method=“Euclidean”, debias=TRUE
bugfix in rates() debias=TRUE
bugfix in summary() of population mean location DOF
bugfix in distances() for 0/0
bugfix in UD polygon export for tiny areas
as.telemetry() UTM import updated to new PROJ specification
mean.ctmm() improved convergence, numerical stability, and covariance selection
meta() stability improvements for tiny DOF estimates, and OUf support
overlap() and meta() can now extract object names
pkde(…) -> akde(…) -> bandwidth(…) -> mean(…) arguments now passed
rsf.fit() AICc formula improved

ctmm 1.1.0 (2022-11-03)

new function pkde() for population kernel density estimates
new functions difference(), distances(), proximity() for estimating distances between individuals
new functions Log(), Exp() to log transform parameter estimates and their uncertainties for meta-analytic regression
new functions dimfig(), sigfig() to represent quantities with concise units and significant digits
new argument ‘sample’ in mean()
new argument ‘interpolate’ in rsf.fit()
new arguments ‘xlim’, ‘ylim’ to plot.outlie()
numerical stability improvements in rsf.fit optimization and hessian calculations
numerical convergence improvements in location error fitting
numerical convergence improvements in AKDE weight optimization
plot.telemetry() can now subset and reproject rasters
bugfix in sp::polygon derived areas (used since v1.0.0 for summary, plot, meta)
bugfix in agde(), suitability(), akde() when reprojecting onto the same raster
bugfix in mean() when averaging isotropic and anisotropic models together
bugfix in speeds() without telemetry object
bugfix in cluster() with 0/0 bias correction error
bugfix in occurrence() with multiple error classes
bugfix in chi dof computation
bugfix in outlie() for error ellipses
summary() now works on mean.ctmm() outputs from different input model structures (OUF & OUO)
fixed log-chi^2 bias correction in mean.ctmm()

ctmm 1.0.0 (2022-07-07)

new function rsf.fit() to fit integrated resource selection functions (iRSFs) with autocorrelation-adjusted weighted likelihood
new function mean.ctmm() to calculate population average movement models
new function revisitation() to calculate the distribution of revisitations
new function npr() to calculate non-parametric spatial regressions
new function agde() to calculate autocorrelated Gaussian distribution estimates, with RSF support
new function suitability() to calculate suitability rasters from RSF fit objects
new function rates() to calculate relative encounter rates
new function dt.plot() to inspect sampling intervals
akde() and occurrence() now support RSF-informed kernels and boundary-respecting kernels
summary.ctmm() now outputs diffusion rate estimates
new argument variable for meta() to estimate population diffusion rates, mean speeds, and autocorrelation timescales
new arguments R and SP in plot.telemetry() and plot.UD() for plotting raster and shapefile base layers
new option method=“Encounter” in overlap()
mean.UD() now propagates uncertainties
mean.UD() now functions on occurrence distributions
new convex argument to UD summary(), plot(), and export functions
plot() and raster() now work on 3D UDs
plot.outlie() now works on lists of outlie objects
speed() output now includes DOF estimate for use with meta()
tbind() now works correctly with different projections and calibrations
%#% unit conversion operator can now interpret products and ratios
summary() timescale confidence intervals are now gamma/inverse-gamma more inline with meta()
progress bar added to optimizer() when trace=1
bugfix in IID area CIs
bugfix in ctmm.loglike() when fitting multiple error classes, where some are zero
bugfix in ctmm.boot() when bias estimate exceeds variance parameter
bugfixes in 3D akde()
bugfix in time gridding code when dt is coarse
bugfix in SpatialPoints.telemetry for single individuals

ctmm 0.6.1 (2021-07-26)

ctmm.fit() can now fit multiple UERE parameters and update uncertain calibration parameter estimates
new function cluster()
new function video()
new function as.sf()
new function tbind()
new argument VMM in simulate(), predict()
new argument timeformat=“auto” in as.telemetry()
new argument verbose in meta()
uere()<- can now assign posterior/updated error estimates from ctmm model objects
bugfix in ctmm.loglike() for circle!=0 and REML
bugfixes in optimzer()
bugfix in ctmm.fit() for 1D processes
bugfix in variogram.fit() for 1D processes
bugfixes in simulate(), predict for 1D processes
bugfix in ctmm.fit() with zero variance models
bugfix in meta() colors when sort=TRUE
bugfixes in ctmm.guess(), ctmm.fit(), speed() for tiny amounts of data
bugfixes in occurrence(), Kalman smoother for IOU process
ctmm.select() now stores IC and MSPE information for summary()
extent objects now include missing columns
extent object longitudes can now cross the international date line

ctmm 0.6.0 (2021-01-08)

new function meta() for meta-analysis of home-range areas
new function encounter() for the conditional distribution of encounters (CDE)
new function distance() to calculate square Bhattacharyya, Mahalanobis, and Euclidean distances
new function compass() to plot a north-pointing compass
new argument ‘t’ in speed()
new argument ‘axes’ in outlie()
as.telemetry() now accepts most tibble objects
akde() on multiple individuals is now more memory efficient
bugfix in ctmm.fit() for IOU model
bugfix in occurrence() with repeated timestamps
bugfix in summary.ctmm() rowname droped for single parameter CIs
bugfix in outlie() with list input
bugfixes in plot.outlie with zero error
bugfix in variogram() with res>1 and CI=“Gauss”
bugfix in ctmm.select() if stepping OU->OUf->OUF
bugfix in as.telemetry() for Move objects with empty idData slot
bugfix in as.telemetry(), median() when importing single location estimate
bugfix in plot.telemery() with add=TRUE and non-SI units
bugfix in speed() for ctmm objects (no data), where CIs were incorrect
bugfix in median() with >=50% repeating observations
bugfix in summary() for periodic models with tau[velocity]==0
bugfix in occurrence() for PDclamp() error
bugfix in ctmm.select() giving incorrect model names when run indirectly
bugfix in occurrence() with IID autocorrelation model
workaround in export functions where sp objects change timezones
workaround in as.telemetry() when Move idData() names are dropped
workaround in plot.UD() when image() has alpha overflow
improvements to akde(), occurrence() grid argument when incomplete
improvements to overlap() Wishart approximation in bias correction
improvements to cleave()

ctmm 0.5.10 (2020-05-04)

as.telemetry() location class code improved
as.telemetry() message for marked outliers
jaguar data in sync with ctmmweb

ctmm 0.5.9 (2020-03-23)

new argument CI=“Gauss” in variogram()
new argument weights in mean.UD()
new argument datum in as.telemetry() – input and ouput datums can now differ
new data ‘jaguar’
bugfix in ctmm.select() for infinte loop
improvements in ctmm.select, ctmm.loglike for collapsing variance/error estimates
rewrite of optimizer’s line search to be more exact & reliable
improvements in optimizer for degenerate likelihood surfaces
improvements in optimization for bad covariance estimates—fit object structure changed
bugfix in uere.fit with multiple location classes in different orders
bugfix in speed when fast=FALSE and sampled models lose features
bugfix in IID pREML CIs
bugfix in ctmm.guess with large errors causing eigen() to fail
bugfix in optimizer expansion search step size not increasing
bugfix in as.telemetry() – MoveStack objects are given a common projection if not projected

ctmm 0.5.8 (2019-12-09)

improvements to ctmm.select() stepwise selection, especially with error and/or circulation
improvements to ctmm.fit() for nearly linear home ranges
improvements to %#% operator – units of speed supported
bugfix in ctmm.loglike() for BM/IOU models with error
new argument units in plot.outlie()
new options(time.units=‘mean’) and options(time.units=‘calendar’) for %#% operator and display units
ctmm.select() no longer warns when model features are not supported (ctmm.fit does)
compatibility fix for R version 4

ctmm 0.5.7 (2019-10-06)

new function optimizer()
new function SpatialPolygonsDataFrame.telemetry() for location estimate error circles/ellipses
‘pNewton’ now the default optimization method
‘pHREML’ now the default estimator & all CI names updated
grid argument now supported in akde and occurrence methods
outlie() output now includes CIs with plot method
error-adjusted variogram implemented when fast=FALSE
LOOCV now supported in ctmm.select(), summary()
new buffer argument in occurrence()
head(), tail() methods for telemetry objects
str() method for ctmm objects
new data object ‘pelican’
SpatialPointsDataFrame now includes timestamp
uere(data) <- numeric now overrides all location classes
improved support for ARGOS-GPS hybrid data
missing DOP values now correctly treated as separate location class
bugfix in conditional simulations with dt argument
bugfix in plot.UD gridlines
bugfix in as.telemetry timeout argument when datasets lack timed-out values
stability fixes in ctmm.fit() for BM/IOU models
further stability enhancements in ctmm.loglike() and optimizer
bugfix in simultaneously fit RMS UERE CIs
AICc formulas fixed for tiny n
reduced Z^2 now exactly normalized in UERE objects
minor enhancements to cleave() function
as.telemetry() no longer automatically calibrates e-obs errors (inconsistent with newer devices)
as.telemetry() no longer complains on reverse-time-ordered files

ctmm 0.5.6 (2019-05-14)

new functions lasso, marquee, and cleave
new functions annotate and color
summary can now compare joint UERE objects to lists of individualized UERE objects
support for UTM locations in as.telemetry
support for GPS-ARGOS hybrid data in as.telemetry & uere.fit
new plot option ext for extent objects
increased numerical precision in ctmm.loglike for 0 < dt << tau, including the limit OU/OUF -> BM/OU
BM/IOU model likelihoods are now exact limits of OU/OUF likelihoods modulo a constant
covariance matrices can now take arbitrary eccentricty and scale
ctmm.boot new argument iterate=FALSE and bugfixes for iterate=TRUE
ctmm.boot now debiases the covariance matrix directly (linearly)
occurrence default dt.max & cor.min arguments now tighter
periodogram functionality restored for one-dimensional data
bugfix in IID ctmm.fit with elliptical errors
bugfix in occurrence when projection origin is far from the mean location
bugfix in akde.list where location errors were not smoothed
bugfix in ctmm.guess/variogram.fit for BM/IOU models
bugfix in speed for IOU models
e-obs calibration cross checked and fixed
ctmm.loglike now returns -Inf when movement and error variance are zero
stability improvements to base R optimizer usage
bugfix in mark.rm argument of as.telemetry
cores option added to ctmm.select
only physical cores now counted by cores arguments
cores option now used in Windows when appropriate
improvements to speed, speeds, ctmm.select for short tracks of data

ctmm 0.5.5 (2019-02-11)

bugfix in summary where timescale CIs were always (0,Inf)
ctmm.select default now level=1
summary on UERE lists now works with more than one axis
R dependency increased to >=3.5 for parallel functions

ctmm 0.5.4 (2019-02-07)

bugfix in ctmm.select where OU was not considered over the new OUO/OUf models introduced in v0.5.3
bugfix in ctmm.boot for heteroskedastic errors
multiplicative option depreciated from ctmm.boot

ctmm 0.5.3 (2019-01-29)

oscillatory (and critically damped) OUO/OUf models now supported, starting with omega option of ctmm()
summary() now works on lists of UERE objects for error model selection
MSPE slots & arguments restructured and fully utilized in both summary and ctmm.select
new method speeds() for estimating instantaneous speeds
speed() more efficient on very coarse data, slightly improved CIs
new complete argument in simulate() and predict() to calculate timestamps and geographic coordinates
now avoiding fastPOSIXct timezone and epoch issues in as.telemetry
outlie() now works on lists of telemetry objects
bugfixes in overlap() CIs
overlap() now robust to bad model fits
new as.telemetry() argument mark.rm to delete marked outliers
bugfix in predict() & occurrence() where eccentricity was dropped from covariances
projection information in Move & MoveStack objects now preserved if possible
identities preserved with newer MoveStack objects
ctmm.boot() better handles parameter estimation near boundaries
e-obs data with missing error/speed/altitude now importing correctly in as.telemetry
correlogram plots now cap estimates to appropriate range
beta optimizer now more aggressive in searching along boundaries
bugfix in ctmm.fit with duplicate timestamps and IID processes without error
bugfix in ctmm.select with pREML & error
summary() on telemetry lists no longer fails on length-1 timeseries
years updated to tropical years and calendar days updated to stellar days

ctmm 0.5.2 (2018-09-10)

location classes (multiple UEREs) now supported by uere.fit() and uere()<-
uere() forked into separate uere() and uere.fit() methods
AICc slot included in UERE objects for error model selection
overlap() telemetry and CTMM arguments depreciated
fixed bug in as.telemetry() when importing ARGOS error ellipses
e-obs error calibration updated
numerical stability increased in ctmm.fit when distance scales are extreme

ctmm 0.5.1 (2018-08-06)

Units of measurement down to microns and microseconds now supported
ctmm.select() now builds up autocovariance features stepwise to help with fit convergence
residuals() can now be calculated from (calibrated) calibration data—diagnostic argument removed from uere()
summary.ctmm() now returns DOF[speed] information on individuals
MSPE of ctmm objects was previously w.r.t. in-sample times and is now time averaged
summary.list.ctmm() now returns MSPE when useful
new speed() argument robust for coarse data
options multiplicative & robust added to ctmm.boot to help with parameters near boundaries
E-OBS errors adjusted by empirical results of Scott LaPoint’s calibration data
Telonics Gen4 errors estimates imported with results of Patricia Medici’s calibration data — Quick Fixes not yet fully supported
fixed critical bug in speed()
fixed bug in as.telemetry with projection argument
fixed bugs in ctmm.loglike when !isotropic && error && circle
fixed bug in emulate when fast=FALSE and error=TRUE
fixed bug in new variogram error calculations (v0.5.0) used for plotting
simultaneously fitted UERE’s from ctmm slot “error” can now be assigned to data for plotting

ctmm 0.5.0 (2018-05-15)

Extensive re-write of the Kalman filter & smoother, now supporting an arbitrary number of spatial dimensions, necessary for ARGOS error ellipse support. (Previously, all multi-dimensional problems were transformed into multiple one-dimensional problems.) Many new models will be supported going forward, based on the v0.5.0 code.
telemetry error vignette “error”
ARGOS error ellipse support in ctmm.fit() and simulate()
plotted variogram errors now estimated from HDOP and no longer assumed to be homoskedastic
as.telemetry() default projections now use robust ellipsoidal statistics
new median.telemetry() method for help with projecting data
(anisotropic & circulation & error) models now exact with 2D Kalman filter & smoother
simulate() & predict() velocities now correct with mean=“periodic”
units argument in speed()
REML and related methods fixed from 0.4.X 1/2 bug
ctmm.loglike COV[mu] bugfix for circular error & elliptical movement
summary() rotation % bugfix with circle=TRUE
parameter boundary bugfix in ctmm.fit() and ctmm.loglike()
fixed bandwidth() bug when weights=TRUE on IID process
variogram.fit() manipulate more appropriate with calibrated errors
fixed bug in plot.variogram for isotropic model fits
fixed bug in ctmm.fit with fitted errors and any(diff(t)==0)
fixed bug in plot.variogram() from stats::qchisq() with k<<1

ctmm 0.4.2 (2018-02-12)

new speed() method
new ctmm.boot() method
new outlie() method
new export functionality for telemetry class
overlap debias=TRUE option (approximate)
pHREML, pREML, HREML ctmm.fit methods implemented and documented
IID pREML & REML AICc values implemented
MSPE values implemented
new uere()<- assignment method
velocity esimtates now included in predict() [fitting one model to multiple behaviors can result in wildly optimistic confidence intervals]
velocities now included in simulate()
simulate precompute option
as.telemetry drop=TRUE option
as.telemetry will no longer drop individuals with missing data columns
as.telemetry will try to approximate DOP values
as.telemetry imports velocity vectors
as.telemetry default projection orientation now robust with GmedianCOV
plot.UD resolution grid less obnoxious, NA/FALSE contour label option
plot.telemetry error=0:3 options for data with recorded error circles/ellipses
plot.telemetry velocity=TRUE option for data with recorded velocities
plot.variogram bugfixes with telemetry errors
fixed AIC bug in new parameterization code (0.4.0-0.4.1) where isotropic=TRUE model would never be selected
fixed rare endless loop in akde/bandwidth with weights=TRUE
outlier removed from buffalo$Cilla

ctmm 0.4.1 (2017-08-30)

projection method for ctmm objects

ctmm 0.4.0 (2017-08-29)

periodigram vignette
new utility function %#% for unit conversions
new model-fit sampling function “emulate”
summary now works on lists of telemetry objects
new extent method for variogram objects
bugfixes in plot.variogram with fit UERE, tau==0
bugfixes with ctmm.fit/select/summary near boundaries
resetting Polak–Ribiere formula in weighted AKDE conjugate gradient routine
read.table fallback in as.telmetry
R 3.4 compatibility fixes
various improvements to plot.variogram
plot.UD & export can now accept multiple level.UD values
increased numerical precision in ctmm.loglike
SI speeds & diffusion fixed with units=FALSE

ctmm 0.3.6 (2017-04-23)

AICc formulas updated from univariate to multivariate
ctmm.select more aggressive on small sample sizes where AICc >> AIC
new residuals and correlogram functions
ctmm.fit now has unified options controling optimization & differentiation
ctmm.fit Hessian and pREML calculations 2x faster
new writeRaster method for UD objects
better UD plot boxes with new extent methods
variogram fast=TRUE less biased for irregular data with new res>1 option
variogram fast=FALSE more robust to irregularity
akde() can now handle duplicate times (with an error model)
plot.variogram bugfix for fixed error models [still not quite correct]
Column name preferences in as.telemetry
as.telemetry faster with fread & fastPOSIXct
new trace option for ctmm.fit
new labels option for plot.UD
more robust CIs for pREML, REML
chi-square CIs (area, semi-variance, etc.) more robust when DOF<1

ctmm 0.3.5 (2017-02-01)

added a FAQ page to the documentation help(“ctmm-FAQ”)
bugfix in occurrence method for BM & IOU models
unit conversion can now be disabled in summary with units=FALSE argument
added trace option to ctmm.select & bandwidth/akde
improved telemetry error support in summary.ctmm and plot.variogram
as.telemetry more robust to alternative column label capitalizations
ctmm.loglike & ctmm.fit more robust when tau_velocity ~ tau_position
Kalman filter & smoother upgraded to Joseph form covariance updates

ctmm 0.3.4 (2016-11-28)

weighted AKDE implemented, fast option, covered in vignette
overlap arguments & ouput changed/generalized
method akde.bandwidth renamed to bandwidth inline with S3 standards
predict now returns covariance estimates
occurrence distributions now exportable
AKDE overlap bugfixes
summary.ctmm now returns correct RMS speed
bugfix for eccentricity errors
variogram CIs fixed for odd dimensions
variogram.fit can now accept OU models
periodogram rare index bugfix
fixed missing lag in dt-argumented variogram
as.telemetry column identification more robust
as.telemetry defined for MoveStack objects

ctmm 0.3.3 (2016-09-05)

improved import of ‘move’ objects
preliminary 3D AKDE support, debiased
new method predict for ctmm objects
akde now supports smoothing errors
variogram.fit and plot.variogram now support telemetry error
UERE fitting now possible simultaneous with tracking data
tag.local.identifier now used as backup to individual.local.identifier in as.telemetry
multiple bug fixes in uere
res.space fixed in occurrence

ctmm 0.3.2 (2016-05-12)

new function overlap for stationary Gaussian distributions and KDEs
new function uere calculates UERE from calibration data
akde debias argument removes most bias from area estimtes, now default
akde CIs further improved
variogram, periodogram generalized to arbitrary dimensions
periodic mean function option for ctmm, ctmm.fit, ctmm.select, plot.variogram, summary (not yet documented)
new method residuals for ctmm objects
ctmm.select now only considers likely model modifications
DOFs now returned in summary
new methods [.telemetry, [.variogram, [.periodogram, subset.periodogram
methods for zoom, raster, writeShapefile now properly assigned to generics
new plot.periodogram option max
new periodogram option res.time (with Lagrange interpolation). Old option res renamed to res.freq.
akde res argument is now relative to the bandwidth
occurrence res.space argument is now relative to the average diffusion
plot.telemetry with data error now uses level.UD for error radius instead of one standard deviation
gridding function for fast=TRUE variogram and periodogram now always fast
bad location removed from buffalo “Pepper”

ctmm 0.3.1 (2016-02-23)

variogram.fit now stores global variables of any name
variogram.fit sliders now use pretty units
variogram.fit range argument depreciated in favor of a more general CTMM prototype argument
akde UD CIs significantly improved for high quality datasets
akde bugfix: subscript out of bounds
circulatory model introduced via circle ctmm argument
oscillatory CPF model introduced via CPF ctmm argument
as.telemetry now imports GPS.HDOP columns with a UERE argument
summary now works on arbitrary lists of ctmm objects
ctmm.fit now tries to make sense of ML parameters that lie on boundaries
occurrence() now works when some timesteps are tiny

ctmm 0.3.0 (2015-11-26)

new function “occurrence” to estimate occurrence distributions
“akde” & “occurrence” class objects generalized to “UD” class
alpha & alpha.HR arguments simplified and generalized to level & level.UD
AKDE= and .HR= arguments generalized to UD= and .UD=
new basic telemetry error functionality in ctmm, ctmm.fit
new function ctmm.select
new methods subset.telemetry and subset.variogram
fixed a bug in the uncertainty report of uncorrelated processes
ctmm.fit is now much faster by specifying a reasonable parscale for optim
ctmm.fit now has a backup for when Brent fails

ctmm 0.2.9 (2015-10-13)

fixed a rare condition in ctmm.fit where solve would fail on correlated errors
multiscale variogram and mean variogram example in vignette
new data example Mongolian gazelle
new fast option for periodogram
improvements in plot.periodogram
bugfix in as.telemetry for numeric indentifiers
bugfix in dt array option of variogram
new resolution option and better estimation algorithms in akde
alpha, alpha.HR, res arguments made consistent across all functions

ctmm 0.2.8 (2015-08-25)

efficiency gains in as.telemetry with multiple animals
bugfix in plot.telemetry for multiple Gaussian PDFs
bugfix in variogram for rare condition when fast=TRUE

ctmm 0.2.7 (2015-07-27)

CRAN check compliance achieved.
all methods (plot, mean, summary, simulate) can and must be run without class extensions
argument names no longer clash with function names and are more explicit about their object class

ctmm 0.2.6 (2015-07-17)

export bugfixes

ctmm 0.2.5 (2015-07-14)

IOU bug fixes in ctmm.fit and plot.variogram

ctmm 0.2.4 (2015-06-28)

cleaned up and labeled tau parameter arrays
implemented Workaround for when subset demotes S4 objects to S3 objects
plot.telemetry now enforces asp=1 even with xlim/ylim arguments

ctmm 0.2.3 (2015-06-19)

new function summary.telemetry
bugfix in as.telemetry for data$t
bugfix in ctmm.loglike for some cases with numeric underflow
periodogram and plot.periodogram can now check for spurious periodicities
minimal support for BM and IOU motion

ctmm 0.2.2 (2015-05-21)

new functions periodogram, plot.periodogram

ctmm 0.2.1 (2015-05-08)

new function SpatialPoints.telemetry returns SpatialPoints object from telemetry data
new function SpatialPolygonsDataFrame.akde returns akde home-range contour SpatialPolygons objects from akde object
new function writeShapefile.akde writes akde home-range contours to ESRI shapefile
new function raster.akde returns akde pdf raster object
new function summary.akde returns HR area of AKDE
fixed bad CI in plot.telemetry model option
as.telemetry now takes a timezone argument for as.POSIXct and defaults to UTC
telemetry, ctmm, and akde objects now have idenification and projection information slotted, with consistent naming throughout

ctmm 0.2.0 (2015-04-27)

vignettes “variogram” and “akde”
new function as.telemetry imports MoveBank formatted csv data and returns telemetry objects
new function variogram.zoom plots a variogram with zoom slider
variogram.fit and variogram.zoom default to a logarithmic-scale zoom slider, which requires much less fiddling
plot.variogram now takes multiple variogram, model, and color options
plot.telemetry now takes multiple data, model, akde, and color options
plot.telemetry can now make probability density plots for both Gaussian model and akde data
ctmm.fit no longer screws up results with initial sigma guesstimates. ML parameter estimates now match closely with published Mathematica results. CIs are improved.
ks-package was producing incorrect home-range contours and has been replaced with custom code. ML home ranges now match published Mathematica results. CIs should be improved.