https://github.com/cran/quantreg
Revision db6345a893b8b8fc62160a27ca5387e57eb246a9 authored by Roger Koenker on 07 June 2016, 16:36:28 UTC, committed by cran-robot on 07 June 2016, 16:36:28 UTC
1 parent 6599e01
Raw File
Tip revision: db6345a893b8b8fc62160a27ca5387e57eb246a9 authored by Roger Koenker on 07 June 2016, 16:36:28 UTC
version 5.26
Tip revision: db6345a
NAMESPACE
useDynLib("quantreg")
import(Matrix)
importFrom('SparseM', t, chol, backsolve, as.matrix.csr)
importFrom('MatrixModels', model.Matrix)
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",
     "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)
back to top