export(analyse.models, cohen, computeContCells, computeContClass, fblr, fblr.weight,
	gknn, knncatimpute, knncatimputeLarge, pamCat, pcc, predictFBLR, 
	recodeAffySNP, recodeSNPs, rowChisqStats, simulateSNPglm, simulateSNPs, 
	smc, snp2bin, canberra2Mats, cohen2Mats, euclidean2Mats, manhattan2Mats, 
	maximum2Mats, minkowski2Mats, pcc2Mats, smc2Mats, identifyMonomorphism, 
	simulateSNPcatResponse, showChanges, rowCATTs, rowChisq2Class, 
	rowChisqMultiClass, rowCors, rowFreqs, rowMsquares, rowScales, rowTables, 
	rowTrendStats, buildSNPannotation, shortenGeneDescription, rowMAFs, rowHWEs,
	colEpistatic, rowEpistatic, abf, rowTrendFuzzy, getMatFuzzy)

importFrom("methods", "is")
importFrom("stats", "as.dist", "dist", "dnorm", "glm", "pchisq",
	"pnorm", "predict", "qnorm", "rbinom", "rgamma", "runif", "sd")
importFrom("utils", "read.table", "write.table")
	

S3method(predict, pamCat)
S3method(print, pamCat)
S3method(print, simSNPglm)
S3method(print, simulatedSNPs)
S3method(print, simSNPcatResponse)
S3method(summary, simSNPglm)
S3method(print, colEpi)

