# via matrix method (R "bug": needs a copy *in* cluster, -> R/silhouette.R):

# Refer to all C routines by their name (rather than strings)
# See R_registerRoutines in R_init_clusterCrit()

importFrom("stats", "cov", "density", "dist", "median", "qbeta",
"qnorm", "quantile", "rbeta", "rnorm", "runif", "sd",

importFrom("graphics", "axis", "matplot", "mtext", "par")
importFrom("stats", "kmeans", "na.omit", "runif", "sd")

importFrom("graphics", "Axis", "box", "lines", "mtext", "par", "plot",
importFrom("stats", "as.dist", "as.hclust", "cutree", "dist", "hclust",
"kmeans", "mad", "median", "na.omit", "rnorm", "runif",

#importFrom(cluster, agnes, twins, twins.object, agnes.object)

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

export(ReducedKM, FactorialKM, groupals, MCAk, fuzzyMCAk, iFCB, plotrd)

export(ReducedKM, FactorialKM, groupals, MCAk, fuzzyMCAk, iFCB, plotrd)
import(corpcor, e1071, ggplot2, randtoolbox, irlba)

export(cluspca, clusmca, clusval, tune_cluspca, tune_clusmca)
importFrom("grDevices", "dev.off", "hcl", "pdf", "rainbow")
importFrom("stats", "dist", "kmeans", "promax", "runif", "varimax")

export(cluspca, clusmca, cluspcamix, tuneclus, global_bootclus, local_bootclus)
importFrom("stats", "dist", "kmeans", "promax", "runif", "varimax","princomp","sd","chisq.test")

importFrom("parallel", "detectCores", "makeCluster", "clusterSetRNGStream","clusterExport", "parLapply","stopCluster")
importFrom("graphics", "contour", "legend", "mtext", "par", "plot", "points")

export(condMDS, condMDSeigen, condIsomap, ccor, mpinv)

importFrom("stats", "approx", "na.omit", "pchisq", "pnorm", "qnorm")

importFrom("stats", "na.omit", "pchisq", "pnorm", "quantile")

importFrom("stats", "stepfun", "na.omit", "p.adjust", "as.formula", "complete.cases", "quantile", "pnorm", "qnorm")
export(cif_est, doPS, plot_est_cif, pvalFormat, weight_cause_cox, plot.PS)

"rcnorm", "dcmvnorm", "isHermitian", "ishpd", "rcmvnorm",
"zapim", "Im<-", "Re<-", "complex_CF", "corr_complex",

export(truthTab, cna, condition, msc, asf, csf, as.condTbl, group.by.outcome)