useDynLib("quantreg") import(Matrix) importFrom('SparseM', t, chol, backsolve, as.matrix.csr) importFrom('MatrixModels', model.Matrix) importFrom('stats', approxfun) importClassesFrom('MatrixModels', dsparseModelMatrix) importClassesFrom('SparseM', matrix.csr) # Export all names exportPattern(".") importFrom("grDevices", "dev.interactive", "devAskNewPage", "gray", "n2mfrow", "terrain.colors") importFrom("graphics", "abline", "contour", "lines", "matlines", "matplot", "par", "persp", "plot", "points", "polygon", "title") importFrom("methods", "as", "hasArg", "new") importFrom("utils", "flush.console", "modifyList") importFrom("stats", ".checkMFClasses", ".getXlevels", "AIC", "approx", "as.formula", "as.ts", "coef", "coefficients", "cycle", "model.matrix", "model.response", "rmultinom", "delete.response", "dnorm", "end", "fitted", "formula", "frequency", "getInitial", "hat", "is.empty.model", "is.stepfun", "knots", "lag", "lm", "lm.fit", "lm.wfit", "logLik", "lsfit", "median", "model.extract", "model.frame", "model.weights", "na.omit", "na.pass", "numericDeriv", "optim", "pchisq", "pf", "pnorm", "predict", "printCoefmat", "pt", "qnorm", "qt", "quantile", "reformulate", "relevel", "resid", "residuals", "rexp", "runif", "setNames", "start", "stepfun", "supsmu", "terms", "uniroot", "var") S3method(AIC, nlrq) S3method(AIC, rq) S3method(AIC, rqs) S3method(AIC, rqss) S3method(anova, rq) S3method(anova, rqlist) S3method(anova, rqs) S3method(coef, crq) S3method(coef, nlrq) S3method(deviance, nlrq) S3method(extractAIC, nlrq) S3method(extractAIC, rq) S3method(fitted, nlrq) S3method(fitted, rqss) S3method(formula, nlrq) S3method(formula, rq) S3method(latex, summary.rqs) S3method(latex, table) S3method(latex, table.rq) S3method(logLik, nlrq) S3method(logLik, rq) S3method(logLik, rqs) S3method(logLik, rqss) S3method(plot, qss1) S3method(plot, qss2) S3method(plot, rq.process) S3method(plot, rqs) S3method(plot, rqss) S3method(plot, summary.crqs) S3method(plot, summary.rqs) S3method(plot, summary.rqss) S3method(plot, table.rq) S3method(predict, crq) S3method(predict, crqs) S3method(predict, nlrq) S3method(predict, qss1) S3method(predict, qss2) S3method(predict, rq) S3method(predict, rq.process) S3method(predict, rqs) S3method(predict, rqss) S3method(print, anova.rq) S3method(print, crq) S3method(print, dynrq) S3method(print, dynrqs) S3method(print, nlrq) S3method(print, rq) S3method(print, rqs) S3method(print, rqss) S3method(print, summary.crq) S3method(print, summary.crqs) S3method(print, summary.dynrq) S3method(print, summary.dynrqs) S3method(print, summary.nlrq) S3method(print, summary.rq) S3method(print, summary.rqs) S3method(print, summary.rqss) S3method(residuals, nlrq) S3method(end, dynrq) S3method(start, dynrq) S3method(summary, crq) S3method(summary, crqs) S3method(summary, dynrqs) S3method(summary, nlrq) S3method(summary, rq) S3method(summary, rqs) S3method(summary, rqss)