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.