importFrom("graphics", "lines", "par", "plot", "points", "symbols",
importFrom("stats", "cor", "fft", "lm", "na.omit", "predict",
"quantile", "rnorm", "sd", "smooth.spline", "var")

"quantile", "rnorm", "sd", "smooth.spline", "var", "uniroot")

export(ncvreg, cv.ncvreg, ncvreg_fit, fir, perm.ncvreg)

export(ncvreg, cv.ncvreg, mfdr, fir, perm.ncvreg, setupLambda, ncvsurv,

export(ncvreg, cv.ncvreg, ncvreg_fit, fir, perm.ncvreg, setupLambda)

export(ncvreg, cv.ncvreg, fir, perm.ncvreg, setupLambda, ncvsurv, cv.ncvsurv)

export(ncvreg, cv.ncvreg, fir, perm.ncvreg, setupLambda, ncvsurv, cv.ncvsurv,

export(ncvreg, cv.ncvreg, mfdr, perm.ncvreg, setupLambda, ncvsurv, cv.ncvsurv,

export(ndlClassify,anova.ndlClassify,ndlCrossvalidate,predict.ndlClassify, crosstableStatistics, estimateActivations, ndlStatistics, RescorlaWagner,estimateWeightsCompact, ndlVarimp, summary.ndlClassify,estimateWeights, orthoCoding, summary.ndlCrossvalidate,modelStatistics, plot.ndlClassify, plot.RescorlaWagner,acts2probs, cueCoding,ndlCuesOutcomes)

importFrom("graphics", "abline", "hist", "legend", "lines", "par", "plot",
importFrom("stats", "as.formula", "density", "formula", "pchisq", "pnorm",

importFrom("grDevices", "col2rgb", "dev.cur", "dev.off", "rgb","dev.new")
importFrom("graphics", "lines", "par", "plot", "rect", "text",

importFrom("stats", "anova", "binomial", "cov", "glm", "lm", "mahalanobis", "median", "qnorm", "sd", "uniroot", "var")

importFrom("stats", "anova", "binomial", "cov", "glm", "lm", "median",

importFrom("graphics", "abline", "hist", "legend", "par", "plot")

importFrom("stats", "ecdf", "ks.test", "phyper", "p.adjust")

export(collapse_ranges, expand_times, expand_dates, partition_ranges, combine_ranges, fill_ranges)

importFrom("utils", "read.csv", "write.csv", "untar", "unzip")

importFrom("kernlab", as.kernelMatrix,  kernelMatrix, ksvm, vanilladot, alphaindex, rbfdot)

importFrom(stats, as.dist, na.omit, phyper, pt)
importFrom(igraph, V, graph.empty, add.vertices, add.edges, get.edgelist, list.vertex.attributes, get.vertex.attribute, list.edge.attributes, get.edge.attribute)