Nothing
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.Any scripts or data that you put into this service are public.
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