*** diagmeta, version 0.4-0, 2020-04-02 *** ** Major changes ** * New default model (argument 'model') in diagmeta(), i.e., common random intercept and common slope ("CICS"), due to estimation problems with the previous default ("DIDS") after changes in R package lme4 ** Bug fixes ** * plot.diagmeta(): - correct line types for survival functions ** User-visible changes ** * diagmeta(): - print a more informative error message in case of a negative correlation between increasing cutoffs and sensitivity * plot.diagmeta(): - argument 'points' considered for plots of type "regression", "cdf", "survival", "Youden", "ROC" and "sensspec" * Help pages: - use the default model in all examples *** diagmeta, version 0.3-1, 2019-04-11 *** ** User-visible changes ** * Export R functions: - as.data.frame.diagmeta(), plot.diagmeta(), print.diagmeta(), print.diagstats(), print.summary.diagmeta(), summary.diagmeta() * plot.diagmeta(): - argument 'col.points' can be any color defined in colours() - new argument 'col.ci' to specify color of curves with confidence limits ** Internal changes ** * diagmeta(): - check for numerical values in arguments 'TP', 'FP', 'TN', 'FN', and 'cutoff' *** diagmeta, version 0.3-0, 2018-12-11 *** ** User-visible changes ** * plot.diagmeta(): new plot type to show sensitivity and specificity curves * New arguments 'sens' and 'spec' in diagstats() * print.summary.diagmeta(): - print confidence interval for optimal cutoff (for normal distribution) * New function as.data.frame.diagmeta() ** Bug fixes ** * plot.diagmeta(): - correct ROC curves for datasets with decreasing cutoff values for individual studies (points (0, 0) and (1, 1) were connected with the wrong values on the ROC curve) ** Internal changes ** * diagmeta(): - calculate and return lower and upper confidence limit for optimal cutoff (for normal distribution) *** diagmeta, version 0.2-0, 2018-03-23 *** ** First version released on CRAN **