Wald inference on the nonparametric term f for space-time
models
Spatio-Temporal Density Estimation
fdaPDE 1.1-9
New features
Inference in space and space-time model (Gaussian family, no forcing
terms): In space model inference is available for both parametric and
nonparametric components; In space-time model inference only on the
parametric component has been implemented.
fdaPDE 1.1-4
New features
fdaPDE over Linear Networks domains
smooth regression for non-gaussian space-time data (GLM model)
fdaPDE 1.1-3
New features
Optimization in spatio-temporal setting: introduced Newton method and
refactored grid code.
fdaPDE 1.1-2
New features
Iterative method for spatio-temporal regression with PDE
regularization (in this framework also two methods for the computation
of GCV Exact and Stochastic)
fdaPDE 1.1-1
New features
Optimization methods (Newton’s methods) to find best smoothing
parameter through GCV minimization
smooth regression for non-gaussian data (GLM model)
fdaPDE 1.1-0
New features
smooth regression for space-time data
density estimation
faster search algorithm
fdaPDE 1.0-8
Bug fixes
Compilation errors with clang fixed.
fdaPDE 1.0-7
Bug fixes
Compilation error in macOS fixed.
fdaPDE 1.0-6
Bug fixes
Compilation error in solaris fixed.
fdaPDE 1.0-5
Bug fixes
gcc-ASAN problem with RTriangle fixed.
fdaPDE 1.0-1
Bug fixes
Compilation errors with clang fixed.
fdaPDE 1.0
New features
smooth regression for manifold domains
smooth regression with areal data
functional smooth PCA (SF-PCA algorithm) : function FEM.FPCA
Stochastic GCV computation has been added: parameter ‘GCVmethod’ can
be used both regression and FPCA, can be either ‘Stochastic’ or
‘Exact’.
Kfold cross-validation is available in FPCA algorithm.
Deprecated functions and
name changes
smooth.FEM.basis, smooth.FEM.PDE.basis and smooth.FEM.PDE.sv.basis
are deprecated, use smooth.FEM instead.
the R-only functions (whose names began with R_) have been
deprecated, and will be removed soon.
The usage of ‘MESH’ in classes and function names has been
deprecated, now use ‘mesh’.
Old datasets have been removed. New datasets are provided.
The parameter CPP_CODE has been removed.
Bug fixes
A bug in R/C++ indexes conversion in the space-varying regression has
been fixed.
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