mcradds 1.1.1
- Fix the 
autoplot test error due to ggplot dependence
update. 
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
- 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
- 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.