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

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.