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author | Ricardo Wurmus <rekado@elephly.net> | 2020-04-27 17:30:40 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2020-04-28 08:44:03 +0200 |
commit | 169f9fe13a4afd7ea4d51d26ce676e6eeb51f160 (patch) | |
tree | 4bec8b505615d31e63e447367090ffe61706003f /gnu/packages/cran.scm | |
parent | 5ffe706b84c2bb870410a3841a29e68a2b5d4683 (diff) | |
download | patches-169f9fe13a4afd7ea4d51d26ce676e6eeb51f160.tar patches-169f9fe13a4afd7ea4d51d26ce676e6eeb51f160.tar.gz |
gnu: Add r-qgam.
* gnu/packages/cran.scm (r-qgam): New variable.
Diffstat (limited to 'gnu/packages/cran.scm')
-rw-r--r-- | gnu/packages/cran.scm | 33 |
1 files changed, 33 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 5058079249..3b20ced31a 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -16949,6 +16949,39 @@ for original research. A variety of user defined options and formatting are included.") (license license:gpl3))) +(define-public r-qgam + (package + (name "r-qgam") + (version "1.3.2") + (source + (origin + (method url-fetch) + (uri (cran-uri "qgam" version)) + (sha256 + (base32 + "0lks2cj0p7irp1i01756v1l7i26d7alax1fbkc20qd6wpz840fi7")))) + (properties `((upstream-name . "qgam"))) + (build-system r-build-system) + (propagated-inputs + `(("r-doparallel" ,r-doparallel) + ("r-mgcv" ,r-mgcv) + ("r-plyr" ,r-plyr) + ("r-shiny" ,r-shiny))) + (native-inputs `(("r-knitr" ,r-knitr))) + (home-page "https://cran.r-project.org/web/packages/qgam/") + (synopsis "Smooth additive quantile regression models") + (description + "This package provides smooth additive quantile regression models, fitted +using the methods of Fasiolo et al. (2017). Differently from @code{quantreg}, +the smoothing parameters are estimated automatically by marginal loss +minimization, while the regression coefficients are estimated using either +PIRLS or Newton algorithm. The learning rate is determined so that the +Bayesian credible intervals of the estimated effects have approximately the +correct coverage. The main function is @code{qgam()} which is similar to +@code{gam()} in the @code{mgcv} package, but fits non-parametric quantile +regression models.") + (license license:gpl2+))) + (define-public r-abtest (package (name "r-abtest") |