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Diffstat (limited to 'gnu/packages/cran.scm')
| -rw-r--r-- | gnu/packages/cran.scm | 205 |
1 files changed, 205 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 9c6ee08f58..10212e2a68 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -24876,6 +24876,82 @@ censored data with competing risks (see data set @code{menopause}). The package also provides functions to visualize the observed data and the MLE.") (license license:gpl2+))) +(define-public r-metafor + (package + (name "r-metafor") + (version "2.4-0") + (source + (origin + (method url-fetch) + (uri (cran-uri "metafor" version)) + (sha256 + (base32 + "1b599fxk7s0brkchmx698fr5k4g1kzkia2rnlvhg349ffs5nfjmn")))) + (properties `((upstream-name . "metafor"))) + (build-system r-build-system) + (propagated-inputs + `(("r-matrix" ,r-matrix) + ("r-nlme" ,r-nlme))) + (home-page "https://cran.r-project.org/web/packages/metafor/") + (synopsis "Meta-analysis package for R") + (description + "This package provides a comprehensive collection of functions for +conducting meta-analyses in R. The package includes functions to calculate +various effect sizes or outcome measures, fit fixed-, random-, and +mixed-effects models to such data, carry out moderator and meta-regression +analyses, and create various types of meta-analytical plots (e.g., forest, +funnel, radial, L'Abbe, Baujat, GOSH plots). For meta-analyses of binomial +and person-time data, the package also provides functions that implement +specialized methods, including the Mantel-Haenszel method, Peto's method, and +a variety of suitable generalized linear (mixed-effects) models (i.e. +mixed-effects logistic and Poisson regression models). Finally, the package +provides functionality for fitting meta-analytic multivariate/multilevel +models that account for non-independent sampling errors and/or true +effects (e.g. due to the inclusion of multiple treatment studies, multiple +endpoints, or other forms of clustering). Network meta-analyses and +meta-analyses accounting for known correlation structures (e.g. due to +phylogenetic relatedness) can also be conducted.") + (license license:gpl2+))) + +(define-public r-altmeta + (package + (name "r-altmeta") + (version "3.2") + (source + (origin + (method url-fetch) + (uri (cran-uri "altmeta" version)) + (sha256 + (base32 + "0z252lbsknqp33i0b0xf5r7spr535iq47bv40vgip6nsqhgrl7b0")))) + (properties `((upstream-name . "altmeta"))) + (build-system r-build-system) + (propagated-inputs + `(("r-coda" ,r-coda) + ("r-lme4" ,r-lme4) + ("r-matrix" ,r-matrix) + ("r-metafor" ,r-metafor) + ("r-rjags" ,r-rjags))) + (home-page "https://cran.r-project.org/web/packages/altmeta/") + (synopsis "Alternative meta-analysis methods") + (description + "This package provides alternative statistical methods for meta-analysis, +including: + +@enumerate +@item bivariate generalized linear mixed models for synthesizing odds ratios, + relative risks, and risk differences +@item heterogeneity tests and measures that are robust to outliers; +@item measures, tests, and visualization tools for publication bias or + small-study effects; +@item meta-analysis of diagnostic tests for synthesizing sensitivities, + specificities, etc.; +@item meta-analysis methods for synthesizing proportions; +@item models for multivariate meta-analysis. +@end enumerate +") + (license license:gpl2+))) + (define-public r-perm (package (name "r-perm") @@ -25314,3 +25390,132 @@ use on EC2 instances, the package 'aws.ec2metadata' is suggested.") "This package provides a simple client package for the Amazon Web Services (AWS) Simple Storage Service (S3) REST API.") (license license:gpl2+))) + +(define-public r-lgr + (package + (name "r-lgr") + (version "0.4.1") + (source (origin + (method url-fetch) + (uri (cran-uri "lgr" version)) + (sha256 + (base32 + "196553hmni1ha9y6494f4g3ds0lwcl81v7k4r8wwap4a6acdrgd9")))) + (build-system r-build-system) + (propagated-inputs + `(("r-r6" ,r-r6))) + (home-page "https://s-fleck.github.io/lgr/") + (synopsis "Fully featured logging framework") + (description "This package offers a flexible, feature-rich yet +light-weight logging framework based on @code{R6} classes. It supports +hierarchical loggers, custom log levels, arbitrary data fields in log events, +logging to plaintext, JSON, (rotating) files, memory buffers, and databases, as +well as email and push notifications.") + (license license:expat))) + +(define-public r-mlr3measures + (package + (name "r-mlr3measures") + (version "0.3.0") + (source (origin + (method url-fetch) + (uri (cran-uri "mlr3measures" version)) + (sha256 + (base32 + "106lfaxphz0kh96ddq14hic7wvxjqp871zdp9kkkfk1kwfg35abw")))) + (build-system r-build-system) + (propagated-inputs + `(("r-checkmate" ,r-checkmate) + ("r-prroc" ,r-prroc))) + (home-page "https://mlr3measures.mlr-org.com/") + (synopsis "Performance measures for mlr3") + (description "This package implements multiple performance measures for +supervised learning. It includes over 40 measures for regression and +classification. Additionally, meta information about the performance measures +can be queried, e.g. what the best and worst possible performances scores +are.") + (license license:lgpl3))) + +(define-public r-mlr3misc + (package + (name "r-mlr3misc") + (version "0.6.0") + (source (origin + (method url-fetch) + (uri (cran-uri "mlr3misc" version)) + (sha256 + (base32 + "1q63i2059bf7cf61kwm0dqnk5vd60i0j4flziswwdk07fjxqh8xr")))) + (build-system r-build-system) + (propagated-inputs + `(("r-backports" ,r-backports) + ("r-checkmate" ,r-checkmate) + ("r-data-table" ,r-data-table) + ("r-r6" ,r-r6))) + (home-page "https://mlr3misc.mlr-org.com/") + (synopsis "Helper functions for mlr3") + (description "@code{mlr3misc} provides frequently used helper functions +and assertions used in @code{mlr3} and its companion packages. It comes with +helper functions for functional programming, for printing, to work with +@code{data.table}, as well as some generally useful @code{R6} classes. This +package also supersedes the package @code{BBmisc}.") + (license license:lgpl3))) + +(define-public r-paradox + (package + (name "r-paradox") + (version "0.6.0") + (source (origin + (method url-fetch) + (uri (cran-uri "paradox" version)) + (sha256 + (base32 + "1zv0q411wcwigkf4yggs3w2gz48lvv3jhnrddrv40qih8b70ywi3")))) + (build-system r-build-system) + (propagated-inputs + `(("r-backports" ,r-backports) + ("r-checkmate" ,r-checkmate) + ("r-data-table" ,r-data-table) + ("r-mlr3misc" ,r-mlr3misc) + ("r-r6" ,r-r6))) + (home-page "https://paradox.mlr-org.com/") + (synopsis "Define and work with parameter spaces for complex algorithms") + (description "With this package it is possible to define parameter spaces, +constraints and dependencies for arbitrary algorithms, and to program on such +spaces. It also includes statistical designs and random samplers. Objects are +implemented as @code{R6} classes.") + (license license:lgpl3))) + +(define-public r-mlr3 + (package + (name "r-mlr3") + (version "0.9.0") + (source (origin + (method url-fetch) + (uri (cran-uri "mlr3" version)) + (sha256 + (base32 + "0gg7rrzxwrnpg6sgm0aa6bmfwmqv3d3za0ghnqrnibg33p9ynpgb")))) + (build-system r-build-system) + (propagated-inputs + `(("r-r6" ,r-r6) + ("r-backports" ,r-backports) + ("r-checkmate" ,r-checkmate) + ("r-data-table" ,r-data-table) + ("r-digest" ,r-digest) + ("r-future-apply" ,r-future-apply) + ("r-lgr" ,r-lgr) + ("r-mlbench" ,r-mlbench) + ("r-mlr3measures" ,r-mlr3measures) + ("r-mlr3misc" ,r-mlr3misc) + ("r-paradox" ,r-paradox) + ("r-uuid" ,r-uuid))) + (home-page "https://mlr3.mlr-org.com/") + (synopsis "Machine Learning in R - Next Generation") + (description "@code{mlr3} enables efficient, object-oriented programming +on the building blocks of machine learning. It provides @code{R6} objects for +tasks, learners, resamplings, and measures. The package is geared towards +scalability and larger datasets by supporting parallelization and out-of-memory +data-backends like databases. While @code{mlr3} focuses on the core +computational operations, add-on packages provide additional functionality.") + (license license:lgpl3))) |