# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		R-conquer
VERSION=		1.3.3
KEYWORDS=		cran
VARIANTS=		standard
SDESC[standard]=	Convolution-Type Smoothed Quantile Regression
HOMEPAGE=		https://github.com/XiaoouPan/conquer
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
			https://loki.dragonflybsd.org/cranfiles/
DISTFILE[1]=		conquer_1.3.3.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[standard]=	single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILDRUN_DEPENDS=	R-Rcpp:single:standard
			R-matrixStats:single:standard
			R-RcppArmadillo:single:standard

USES=			cran gmake

DISTNAME=		conquer

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:638:descriptions/desc.single]
conquer: Convolution-Type Smoothed Quantile Regression

Estimation and inference for conditional linear quantile regression models
using a convolution smoothed approach. In the low-dimensional setting,
efficient gradient-based methods are employed for fitting both a single
model and a regression process over a quantile range. Normal-based and
(multiplier) bootstrap confidence intervals for all slope coefficients are
constructed. In high dimensions, the conquer method is complemented with
flexible types of penalties (Lasso, elastic-net, group lasso, sparse group
lasso, scad and mcp) to deal with complex low-dimensional structures.


[FILE:104:distinfo]
a2c6155ed74af0e2a279145843ec5229ae2f3707aa25169ae030c520aa97deba        56315 CRAN/conquer_1.3.3.tar.gz