NEWS
mcradds 1.1.1.9000
mcradds 1.1.1 (2024-08-30)
- Fix the
autoplot
test error due to ggplot dependence update.
mcradds 1.1.0 (2023-12-04)
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 (2023-10-11)
Meta
- 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
Meta
- 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.