Analysis of High-Dimensional Categorical Data such as SNP Data

Documentation for package ‘scrime’ version 1.0.0

analyse.models	Summarize MCMC sample of Bayesian logic regression models
cohen	Simple Matching Coefficient and Cohen's Kappa
computeContCells	Pairwise Contingency Tables
computeContClass	Rowwise Contigency Tables
fblr	Full Bayesian Logic Regression for SNP Data
gknn	Generalized k Nearest Neighbors
knncatimpute	Missing Value Imputation with kNN
knncatimputeLarge	Missing Value Imputation with kNN for High-Dimensional Data
pamCat	Prediction Analysis of Categorical Data
pcc	Pearson's Contingency Coefficient
predict.pamCat	Predict Method for pamCat Objects
predictFBLR	Predict Case Probabilities with Full Bayesian Logic Regression
print.pamCat	Prediction Analysis of Categorical Data
recodeAffySNP	Recoding of Affymetrix SNP Values
recodeSNPs	Recoding of SNP Values
rowChisqStats	Rowwise Pearson's ChiSquare Statistic
simulateSNPglm	Simulation of SNP data
simulateSNPs	Simulation of SNP data
smc	Simple Matching Coefficient and Cohen's Kappa
snp2bin	Transformation of SNPs to Binary Variables
summary.simSNPglm	Summarizing a simSNPglm object