import(methods, pkgmaker, rjson, data.table, PythonInR, parallel, doParallel, foreach)
importFrom("grDevices", "bmp", "dev.off", "pdf", "png","colorRampPalette")
importFrom("graphics", "axis", "barplot", "layout", "par", "text")
importFrom("stats", "p.adjust", "phyper")
importFrom("utils", "download.file", "write.table","read.table")
export(WebGestaltR, WebGestaltR_batch, IDMapping, GOSlimSummary, listGeneSet, listIDType, listOrganism, readGMT, listReferenceSet, listArchiveURL, formatCheck)

importFrom("graphics", "abline", "axis", "curve", "legend", "lines",
"par", "plot", "plot.default", "points", "segments",
importFrom("stats", "approxfun", "coef", "cor", "lm", "na.omit",
"pexp", "plnorm", "pweibull", "qbeta", "qexp", "qlnorm",
"qnorm", "quantile", "qweibull", "rweibull", "optimHess",
"sd", "var", "pchisq", "qchisq", "dnorm", "dlnorm", "dweibull")

"sd", "var", "pchisq", "qchisq", "dnorm", "dlnorm", "dweibull",

importFrom("graphics", "abline", "axis", "legend", "plot.default",
importFrom("stats", "lm", "qlnorm", "qweibull", "na.omit")
importFrom("WeibullR","getPPP", "lslr", "mlefit", "mleframe", "p2y",

importFrom("stats", "terms", "glm", "setNames", "sd", "model.frame", "model.response",
"update.formula", "as.formula", "quantile", "model.matrix", "binomial",

importFrom("graphics", "boxplot", "plot", "par", "hist")
export(weightit, weightitMSM, trim, ps.cont, make_full_rank, get_w_from_ps, as.weightit, as.weightitMSM,

export(weightit, weightitMSM, weightit.fit, trim, ps.cont, make_full_rank, get_w_from_ps, as.weightit, as.weightitMSM,

export(weightit, weightitMSM, weightit.fit, trim, make_full_rank, get_w_from_ps, as.weightit, as.weightitMSM,

"gaussian", "dnorm", "fitted", "contrasts", "na.pass")

export(weightit, weightitMSM, trim, ps.cont, make.full.rank)

export(weightit, weightitMSM, trim, ps.cont, make_full_rank, get_w_from_ps, as.weightit, as.weightitMSM)

useDynLib("WeightSVM", .registration = TRUE, .fixes='C_')

importFrom("graphics", "par", "plot", "legend", "lines", "polygon", "layout")
importFrom("stats", "var", "cutree", "median", "qnorm", "quantile", "xtabs", "aggregate", "as.dist", "hclust")
useDynLib(WeightedCluster, .registration = TRUE, .fixes = "C_")