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53 lines (47 loc) · 1.11 KB
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# hand-written (combines hdhuber + hdsvm + hdqr)
useDynLib(hdstats, .registration=TRUE)
importFrom(Rcpp, evalCpp)
import(Matrix)
importFrom(graphics, segments)
importFrom(methods, new)
importFrom(methods, rbind2)
importFrom(stats, approx)
importFrom(stats, coef)
importFrom(stats, median)
importFrom(stats, predict)
# ---- hdhuber ----
export(hdhuber)
export(cv.hdhuber)
S3method(coef, hdhuber)
S3method(coef, cv.hdhuber)
S3method(predict, hdhuber)
S3method(predict, cv.hdhuber)
# ---- hdsvm ----
export(hdsvm)
export(cv.hdsvm)
export(nc.hdsvm)
export(cv.nc.hdsvm)
S3method(coef, hdsvm)
S3method(coef, cv.hdsvm)
S3method(coef, nc.hdsvm)
S3method(coef, cv.nc.hdsvm)
S3method(predict, hdsvm)
S3method(predict, cv.hdsvm)
S3method(predict, nc.hdsvm)
S3method(predict, cv.nc.hdsvm)
# ---- rank regression (Wilcoxon) ----
export(hdrr)
export(cv.hdrr)
# ---- hdqr ----
export(hdqr)
export(cv.hdqr)
export(nc.hdqr)
export(cv.nc.hdqr)
S3method(coef, hdqr)
S3method(coef, cv.hdqr)
S3method(coef, nc.hdqr)
S3method(coef, cv.nc.hdqr)
S3method(predict, hdqr)
S3method(predict, cv.hdqr)
S3method(predict, nc.hdqr)
S3method(predict, cv.nc.hdqr)