High-Performance Open-Source Archive
autoplot test error due to ggplot dependence
update.getAccuracy to support Kappa calculation in
qualitative performance.mcr relevant functions that were commented
temporarily in last version.descfreq and descvar functions for
summarizing descriptive statistics .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.mcradds package.CRAN.autoplot method for Bland-Altman and regression
plots.tukey_outlier and dixon_outlier to
detect outliers ahead of establishing reference range.robustRI and nonparRI to compute
robust and non-parametric reference range, and integrated into the main
program refInterval.anovaVCA and VCAinference from
VCA package to analyze the variance components with ANOVA
model.aucTest to do the AUC test for paired two-sample
measurements in the designs of difference, non-inferiority and
superiority.RefInt and tpROC classes and
corresponding show method.calcium, glucose,
ldlroc and PDL1RP data sets for example and
testing use, and nonparRanks data set for internal function
use.diagTab and getAccuracy so that
they can support the reader precision analysis not only qualitative
performance.mcradds package, contains basic
quantitative or qualitative performance methods and functions as shown
below.size_one_prop and size_ci_one_prop
for sample size of qualitative trials, size_corr and
size_ci_corr for quantitative trails.SampleSize, MCTab and
BAsummary classes for show method.platelet and qualData data sets for
example and testing use.diagTab function to get 2x2 contingency table,
and getAccuracy method to compute the qualitative
diagnostic accuracy criteria.blandAltman function to calculate statistics for
Bland-Altman, and getOutlier method to detect the potential
outliers.pearsonTest and spearmanTest, more
efficient functions to compute the confidence interval and hypothesis
test.mcreg and calcBias methods of
mcr package are wrapped for regression analysis.
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