mcradds 1.1.1
- Fix the
autoplot
test error due to ggplot dependence
update.
mcradds 1.1.0
Enhancements
- Enhanced
getAccuracy
to support Kappa calculation in
qualitative performance.
- Refreshed
mcr
relevant functions that were commented
temporarily in last version.
New features
- Added
descfreq
and descvar
functions for
summarizing descriptive statistics .
mcradds 1.0.1
- Remove
mcr
package related codes as it’s not available
in the CRAN. But as the contacting with the author, he is working and
updating on it and plans to re-submit to CRAN.
- First public release of
mcradds
package.
mcradds 1.0.0
- Prepared submission to
CRAN
.
New features
- Added
autoplot
method for Bland-Altman and regression
plots.
mcradds 0.2.0
New features
- Added
tukey_outlier
and dixon_outlier
to
detect outliers ahead of establishing reference range.
- Added
robustRI
and nonparRI
to compute
robust and non-parametric reference range, and integrated into the main
program refInterval
.
- Wrapped
anovaVCA
and VCAinference
from
VCA
package to analyze the variance components with ANOVA
model.
- Added
aucTest
to do the AUC test for paired two-sample
measurements in the designs of difference, non-inferiority and
superiority.
- Added
RefInt
and tpROC
classes and
corresponding show
method.
- Added
calcium
, glucose
,
ldlroc
and PDL1RP
data sets for example and
testing use, and nonparRanks
data set for internal function
use.
Enhancements
- Enhanced
diagTab
and getAccuracy
so that
they can support the reader precision analysis not only qualitative
performance.
Miscellaneous
- Added a series of helper function to format and concatenate to
string.
- Uniform the capital and lower-case letters in roxygen
documents.
mcradds 0.1.0
- First release of the
mcradds
package, contains basic
quantitative or qualitative performance methods and functions as shown
below.
Sample Size
- Added
size_one_prop
and size_ci_one_prop
for sample size of qualitative trials, size_corr
and
size_ci_corr
for quantitative trails.
Classes and Datasets
- Added
SampleSize
, MCTab
and
BAsummary
classes for show
method.
- Added
platelet
and qualData
data sets for
example and testing use.
Analyzing Functions and
Methods
- Added
diagTab
function to get 2x2 contingency table,
and getAccuracy
method to compute the qualitative
diagnostic accuracy criteria.
- Added
blandAltman
function to calculate statistics for
Bland-Altman, and getOutlier
method to detect the potential
outliers.
- Added
pearsonTest
and spearmanTest
, more
efficient functions to compute the confidence interval and hypothesis
test.
- Added
mcreg
and calcBias
methods of
mcr
package are wrapped for regression analysis.