aggregateDist, CTE, discretize, discretise, VaR, adjCoef, ruin,
dinvgamma, pinvgamma, qinvgamma, rinvgamma, minvgamma, levinvgamma, mgfinvgamma,
minvGauss, levinvGauss, mgfinvGauss, #notation from SuppDists package
dphtype, pphtype, rphtype, mphtype, mgfphtype,

aggregateDist, CTE, TVaR, discretize, discretise, VaR, adjCoef, ruin,

simul, simpf, rcomphierarc, severity, unroll,
dpareto, ppareto, qpareto, rpareto, mpareto, levpareto,
minvGauss, levinvGauss, mgfinvGauss, # deprecated v2.0-0
dgumbel, pgumbel, qgumbel, rgumbel, mgumbel, mgfgumbel,
dinvgauss, pinvgauss, qinvgauss, rinvgauss, minvgauss, levinvgauss, mgfinvgauss,

import(expint)                          # for C code

useDynLib(actuar, .registration = TRUE, .fixes = "C_")

## minvGauss, levinvGauss, mgfinvGauss, [defunct v3.0-0]
dpareto2, ppareto2, qpareto2, rpareto2, mpareto2, levpareto2,
dpareto3, ppareto3, qpareto3, rpareto3, mpareto3, levpareto3,
dpareto4, ppareto4, qpareto4, rpareto4, mpareto4, levpareto4,
dfpareto, pfpareto, qfpareto, rfpareto, mfpareto, levfpareto,

grouped.data, ogive, emm, mde, elev, coverage, var, sd

importFrom("utils", "capture.output", "str", "unzip", "zip", "installed.packages", "packageDescription")
export(compose, push, auth, composeFromSource, pushFromSource)

importFrom("graphics", "axis", "dotchart", "legend", "matlines",
"pairs", "par", "plot", "points", "title")

exportPattern(bagging, bagging.cv, boosting, boosting.cv, errorevol, margins)

exportPattern(bagging, bagging.cv, boosting, boosting.cv, errorevol, margins, autoprune,MarginOrderedPruning.Bagging, importanceplot)

importFrom("graphics", "abline", "barplot", "legend", "lines", "plot")

importFrom("parallel", "clusterEvalQ", "clusterExport", "detectCores", "makeCluster", "stopCluster")

importFrom("graphics", "grid", "lines", "plot", "points")

importFrom("stats", "median", "quantile", "rnorm", "runif", "sd")
importFrom("ROI", "F_objective", "V_bound", "OP", "ROI_solve")

importFrom("stats", "median", "rgamma", "rnorm", "runif")

importFrom("stats", "coef", "constrOptim", "fitted", "glm", "model.matrix",
"model.offset", "model.response", "model.weights", "pnorm", "poisson",