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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.