mcradds 1.1.1
- Fix the autoplottest error due to ggplot dependence
update.
mcradds 1.1.0
Enhancements
- Enhanced getAccuracyto support Kappa calculation in
qualitative performance.
- Refreshed mcrrelevant functions that were commented
temporarily in last version.
New features
- Added descfreqanddescvarfunctions for
summarizing descriptive statistics .
mcradds 1.0.1
- Remove mcrpackage 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 mcraddspackage.
mcradds 1.0.0
- Prepared submission to CRAN.
New features
- Added autoplotmethod for Bland-Altman and regression
plots.
mcradds 0.2.0
New features
- Added tukey_outlieranddixon_outlierto
detect outliers ahead of establishing reference range.
- Added robustRIandnonparRIto compute
robust and non-parametric reference range, and integrated into the main
programrefInterval.
- Wrapped anovaVCAandVCAinferencefromVCApackage to analyze the variance components with ANOVA
model.
- Added aucTestto do the AUC test for paired two-sample
measurements in the designs of difference, non-inferiority and
superiority.
- Added RefIntandtpROCclasses and
correspondingshowmethod.
- Added calcium,glucose,ldlrocandPDL1RPdata sets for example and
testing use, andnonparRanksdata set for internal function
use.
Enhancements
- Enhanced diagTabandgetAccuracyso 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 mcraddspackage, contains basic
quantitative or qualitative performance methods and functions as shown
below.
Sample Size
- Added size_one_propandsize_ci_one_propfor sample size of qualitative trials,size_corrandsize_ci_corrfor quantitative trails.
Classes and Datasets
- Added SampleSize,MCTabandBAsummaryclasses forshowmethod.
- Added plateletandqualDatadata sets for
example and testing use.
Analyzing Functions and
Methods
- Added diagTabfunction to get 2x2 contingency table,
andgetAccuracymethod to compute the qualitative
diagnostic accuracy criteria.
- Added blandAltmanfunction to calculate statistics for
Bland-Altman, andgetOutliermethod to detect the potential
outliers.
- Added pearsonTestandspearmanTest, more
efficient functions to compute the confidence interval and hypothesis
test.
- Added mcregandcalcBiasmethods ofmcrpackage are wrapped for regression analysis.