importFrom("methods", "new", "representation", "setClass", "setMethod")
importFrom("stats", "binom.test", "median", "pchisq", "pnorm", "pt",
"qbinom", "qnorm", "var")
exportPattern("^[[:alpha:]]+")

importFrom("methods", "new", "representation", "setClass", "setMethod")
importFrom("stats", "binom.test", "median", "pchisq", "pnorm", "pt",
"qbinom", "qnorm", "var")
exportPattern("^[[:alpha:]]+")

importFrom("methods", "new", "representation", "setClass", "setMethod")
importFrom("stats", "binom.test", "median", "pchisq", "pnorm", "pt",
"qbinom", "qnorm", "var")
exportPattern("^[[:alpha:]]+")

importFrom("graphics", "abline", "dotchart", "mtext", "plot", "polygon", "text")
importFrom("stats", "cor", "predict", "rnorm", "sd")

importFrom("graphics", "abline", "dotchart", "mtext", "plot", "polygon", "text", "lines")
importFrom("stats", "cor", "predict", "rnorm", "sd",  "quantile", "vcov", "coef")

## Importing S3 "generics" for which we define S3 methods

##N not generic! importFrom("stats", var)

## S3 "generics" for which we define S3 methods

useDynLib(norm, ctrsc, mkpsi,  swp, initn, stvaln, tobsn, emn, moden, lprin,lobsn,swpobs,
gtmc, gtoc, rngs, is1n, sigex, chols, ps1n, invtrn, bfac, mmn, ninvwn,
ph2thn, sjn, lasts, is2n, layers, tobsmn, chol2, ps2n,
em.norm, logpost.norm, loglik.norm, ninvwish, da.norm, imp.norm, mda.norm,

importFrom("graphics", "abline", "hist", "legend", "lines", "mtext",
importFrom("stats", "as.formula", "deviance", "df.residual", "dunif",
"lm", "lm.influence", "median", "optim", "pgamma", "ppoints",
"qgamma", "qqnorm", "quantile", "residuals", "rgamma",

export(ad.test, cvm.test, lillie.test, pearson.test, sf.test)

importFrom("stats", "complete.cases", "cor", "pchisq", "pnorm", "ppoints", "qnorm", "sd")
export(ad.test, cvm.test, lillie.test, pearson.test, sf.test)

# Generated by roxygen2 (4.1.0): do not edit by hand
export(npIntFactRep)

export(controlDNPROCreg, DNPROCreg, DNPROCregData, summary.DNPROCreg, print.DNPROCreg, plot.DNPROCreg,controlINPROCreg, INPROCreg, summary.INPROCreg, print.INPROCreg, plot.INPROCreg)