Package: SPQR
Type: Package
Title: Semi-Parametric Quantile Regression
Version: 0.1.0
Date: 2022-4-26
Authors@R: c(person("Steven", "Xu", email = "sgxu@ncsu.edu", role = c("aut","cre")), 
             person("Reetam", "Majumder", email = "rmajumd3@ncsu.edu", role = c("aut")),
             person("Brian", "Reich", email = "bjreich@ncsu.edu", role = c("ctb")))
Description: Methods for flexible estimation of conditional density and quantile function, as well as model agnostic tools for analyzing quantile covariate effect and variable importance. The estimation method implements the semi-parametric quantile regression model described in Xu and Reich (2021) <doi:10.1111/biom.13576>, and the model agnostic tools extend accumulative local effects (ALE) to quantile regression setting.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.2
Depends: R (>= 3.6)
Imports: Rcpp (>= 1.0.8), stats, torch, splines2, ggplot2, loo,
        progress, progressr, interp, RColorBrewer, yaImpute, coro (>=
        1.0.2)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
SystemRequirements: C++11
Author: Steven Xu [aut, cre],
  Reetam Majumder [aut],
  Brian Reich [ctb]
Maintainer: Steven Xu <sgxu@ncsu.edu>
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/stevengxu/SPQR
BugReports: https://github.com/stevengxu/SPQR/issues
Packaged: 2022-04-29 19:08:35 UTC; 15306
Repository: CRAN
Date/Publication: 2022-05-02 20:02:03 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-05-03 11:29:46 UTC; unix
Archs: SPQR.so.dSYM
