R: Prentice Rank Sum Test and McNemar Test

# Prentice Rank Sum Test and McNemar Test

## Documentation for package ‘muStat’ version 1.7.0

- DESCRIPTION file.

## Help Pages

muS2RC-package | Splus to R Compatibility for package muStat
muStat-package | Prentice (Friedman/Wilcoxon/Kruskal) Rank Sum Test, Stratified McNemar (TDT, Sign) Test and u/mu-Scores for Multivariate Data
muUtil-package | muStat Utility Functions
anyMissing | Check for Missing Values.
bits.per.integer | Internal Size of an integer
chkMissing | Check Missing Data
DMM.pvalue | Stratified McNemar (TDT, sign) test for association studies
endfunction | End a Function
ifelse1 | Conditional Data Selection
is.inf | Infinite
is.number | Check Values
is.orderable | If a value can be ordered
len | Length of an Object
MC | Make Closure for functions
MCN.pvalue | Stratified McNemar (TDT, sign) test for association studies
mu.AND | Pairwise AND
mu.dbinom | Binomial Distribution
mu.friedman.test | Prentice (Friedman/Wilcoxon/Kruskal) Rank Sum Test
mu.GE | GE Matrix
mu.kruskal.test | Prentice (Friedman/Wilcoxon/Kruskal) Rank Sum Test
mu.rank | Ranks of Data
mu.rank.nna | Ranks of Data
mu.score | u-Scores and Weights
mu.Sums | u-Scores and Weights
mu.weight | u-Scores and Weights
mu.wilcox.test | Prentice (Friedman/Wilcoxon/Kruskal) Rank Sum Test
mu.wScr | u-Scores and Weights
muS2RC | Splus to R Compatibility for package muStat
muStat | Prentice (Friedman/Wilcoxon/Kruskal) Rank Sum Test, Stratified McNemar (TDT, Sign) Test and u/mu-Scores for Multivariate Data
muUtil | muStat Utility Functions
NAtoZer | Dealing With Missing Values
NoOp | No Operation
NoWarn | Suppress Warnings
prentice.test | Prentice (Friedman/Wilcoxon/Kruskal) Rank Sum Test
RCRng | Data Extract
SMN.pvalue | Stratified McNemar (TDT, sign) test for association studies
sq.array | Produce Square Array or Square Matrix
sq.matrix | Produce Square Array or Square Matrix
stdev | Standard Deviation
TDT.pvalue | Stratified McNemar (TDT, sign) test for association studies
ULPrint | Print Data
which.na | Determine Which Values are Missing Values