export(HMR)
importFrom(utils, write.table, read.table, flush.console)
importFrom(graphics, par, plot, points, lines, text, legend, polygon, mtext, locator, frame)
importFrom(stats, ls.print, median, lsfit, optimize, pt, qt, var, pchisq)
importFrom(grDevices, colors, jpeg, postscript, dev.off)

export(HMR)
importFrom(utils, write.table, read.table, flush.console)
importFrom(graphics, par, plot, points, lines, text, legend, polygon, mtext, locator, frame)
importFrom(stats, ls.print, median, lsfit, optimize, pt, qt, var, pchisq)
importFrom(grDevices, colors, jpeg, postscript, dev.off)

export(HMR)
importFrom(utils, write.table, read.table, flush.console)
importFrom(graphics, par, plot, points, lines, text, legend, polygon, mtext, locator, frame)
importFrom(stats, ls.print, median, lsfit, optimize, pt, qt, var, pchisq)
importFrom(grDevices, colors, jpeg, postscript, dev.off)

importFrom("stats", "cor", "dnorm", "glm", "lm", "median", "pchisq",

### Only put what is statically exported here. All the AnnObj instances
### created at load time are dynamically exported (refer to R/zzz.R for

export(hrm.A.weighted, hrm.A.unweighted, hrm.B, hrm.AB, hrm.A_B, hrm.test)

export(hrm.test, hrm.test.matrix, hrm.test.dataframe, hrm.test.2, hrm_test, hrm.plot)

importFrom("stats", "pf", "qf", "var", "as.formula")

export(hrm.test, hrm.test.matrix, hrm.test.dataframe, hrm.test.2, hrm_test, hrm.plot, hrm.GUI)

export(hrm_test, hrm.GUI, hrm_GUI, hrm.test.matrix, hrm.test.dataframe)

importFrom("data.table", "setDT", "rbindlist", "setnames", "as.data.table", ":=")

importFrom("stats", "pf", "qf", "var", "as.formula", "pnorm")
importFrom("stats", "model.frame", "terms.formula", "qt", "cov")

importFrom("stats", "dbinom", "formula", "model.frame", "model.matrix",
"model.response", "pchisq", "pnorm", "printCoefmat", "pt",

importFrom("stats", "cor", "density", "dgamma", "dunif", "median",
"pgamma", "pnorm", "qchisq", "qgamma", "qnorm", "quantile",
"rbeta", "rgamma", "rmultinom", "rnorm", "runif", "sd")

importFrom("stats", "AIC", "binomial", "glm", "lm", "predict")