me
/
guix
Archived
1
0
Fork 0

gnu: Add r-mixsqp.

* gnu/packages/cran.scm (r-mixsqp): New variable.
master
Roel Janssen 2020-11-18 16:40:13 +01:00 committed by Ricardo Wurmus
parent deda2319f7
commit 755d16a3b0
No known key found for this signature in database
GPG Key ID: 197A5888235FACAC
1 changed files with 31 additions and 0 deletions

View File

@ -8636,6 +8636,37 @@ conveniently wrapped into a data frame.")
multiple-imputation datasets.")
(license license:gpl2)))
(define-public r-mixsqp
(package
(name "r-mixsqp")
(version "0.3-43")
(source (origin
(method url-fetch)
(uri (cran-uri "mixsqp" version))
(sha256
(base32
"1qics04w0swyp216d6g8dmsph8q2kpadpacp66h2qih3521js12q"))))
(properties `((upstream-name . "mixsqp")))
(build-system r-build-system)
(propagated-inputs
`(("r-irlba" ,r-irlba)
("r-rcpp" ,r-rcpp)
("r-rcpparmadillo" ,r-rcpparmadillo)))
(native-inputs
`(("r-knitr" ,r-knitr)))
(home-page "https://github.com/stephenslab/mixsqp")
(synopsis
"Sequential quadratic programming for maximum-likelihood estimation")
(description
"This package provides an optimization method based on sequential
quadratic programming for maximum likelihood estimation of the mixture
proportions in a finite mixture model where the component densities are
known. The algorithm is expected to obtain solutions that are at least
as accurate as the state-of-the-art MOSEK interior-point solver, and they
are expected to arrive at solutions more quickly when the number of
samples is large and the number of mixture components is not too large.")
(license license:expat)))
(define-public r-magick
(package
(name "r-magick")