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/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-mppr 1.5.0
Propagated dependencies: r-qtl@1.72 r-nlme@3.1-168 r-matrix@1.7-4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/vincentgarin/mppR
Licenses: GPL 3
Build system: r
Synopsis: Multi-Parent Population QTL Analysis
Description:

Analysis of experimental multi-parent populations to detect regions of the genome (called quantitative trait loci, QTLs) influencing phenotypic traits measured in unique and multiple environments. The population must be composed of crosses between a set of at least three parents (e.g. factorial design, diallel', or nested association mapping). The functions cover data processing, QTL detection, and results visualization. The implemented methodology is described in Garin, Wimmer, Mezmouk, Malosetti and van Eeuwijk (2017) <doi:10.1007/s00122-017-2923-3>, in Garin, Malosetti and van Eeuwijk (2020) <doi: 10.1007/s00122-020-03621-0>, and in Garin, Diallo, Tekete, Thera, ..., and Rami (2024) <doi: 10.1093/genetics/iyae003>.

r-metasubtract 1.60
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MetaSubtract
Licenses: GPL 3+
Build system: r
Synopsis: Subtracting Summary Statistics of One or more Cohorts from Meta-GWAS Results
Description:

If results from a meta-GWAS are used for validation in one of the cohorts that was included in the meta-analysis, this will yield biased (i.e. too optimistic) results. The validation cohort needs to be independent from the meta-Genome-Wide-Association-Study (meta-GWAS) results. MetaSubtract will subtract the results of the respective cohort from the meta-GWAS results analytically without having to redo the meta-GWAS analysis using the leave-one-out methodology. It can handle different meta-analyses methods and takes into account if single or double genomic control correction was applied to the original meta-analysis. It can also handle different meta-analysis methods. It can be used for whole GWAS, but also for a limited set of genetic markers. See for application: Nolte I.M. et al. (2017); <doi: 10.1038/ejhg.2017.50>.

r-mos 0.1.3
Propagated dependencies: r-hypergeo2@0.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mos
Licenses: GPL 3
Build system: r
Synopsis: Simulation and Moment Computation for Order Statistics
Description:

This package provides a comprehensive set of tools for working with order statistics, including functions for simulating order statistics, censored samples (Type I and Type II), and record values from various continuous distributions. Additionally, it offers functions to compute moments (mean, variance, skewness, kurtosis) of order statistics for several continuous distributions. These tools assist researchers and statisticians in understanding and analyzing the properties of order statistics and related data. The methods and algorithms implemented in this package are based on several published works, including Ahsanullah et al (2013, ISBN:9789491216831), Arnold and Balakrishnan (2012, ISBN:1461236444), Harter and Balakrishnan (1996, ISBN:9780849394522), Balakrishnan and Sandhu (1995) <doi:10.1080/00031305.1995.10476150>, Genç (2012) <doi:10.1007/s00362-010-0320-y>, Makouei et al (2021) <doi:10.1016/j.cam.2021.113386> and Nagaraja (2013) <doi:10.1016/j.spl.2013.06.028>.

r-multius 1.2.3
Propagated dependencies: r-mass@7.3-65 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiUS
Licenses: GPL 2+
Build system: r
Synopsis: Functions for the Courses Multivariate Analysis and Computer Intensive Methods
Description:

This package provides utility functions for multivariate analysis (factor analysis, discriminant analysis, and others). The package is primary written for the course Multivariate analysis and for the course Computer intensive methods at the masters program of Applied Statistics at University of Ljubljana.

r-msbstatsdata 0.0.2
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MSBStatsData
Licenses: GPL 3+
Build system: r
Synopsis: Data Sets for Courses at the Münster School of Business
Description:

This package provides sample data sets that are used in statistics and data science courses at the Münster School of Business. The datasets refer to different business topics but also other domains, e.g. sports, traffic, etc.

r-mixphm 0.7-2
Propagated dependencies: r-survival@3.8-3 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mixPHM
Licenses: GPL 2
Build system: r
Synopsis: Mixtures of Proportional Hazard Models
Description:

Fits multiple variable mixtures of various parametric proportional hazard models using the EM-Algorithm. Proportionality restrictions can be imposed on the latent groups and/or on the variables. Several survival distributions can be specified. Missing values and censored values are allowed. Independence is assumed over the single variables.

r-mscombine 1.4
Propagated dependencies: r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MScombine
Licenses: GPL 2
Build system: r
Synopsis: Combine Data from Positive and Negative Ionization Mode Finding Common Entities
Description:

Find common entities detected in both positive and negative ionization mode, delete this entity in the less sensible mode and combine both matrices.

r-massprops 0.3.5
Propagated dependencies: r-rolluptree@0.4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jsjuni.github.io/massProps/
Licenses: Expat
Build system: r
Synopsis: Calculate Mass Properties and Uncertainties of Tree Structures
Description:

Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).

r-mvgam 1.1.594
Propagated dependencies: r-tibble@3.3.0 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-posterior@1.6.1 r-patchwork@1.3.2 r-mvnfast@0.2.8 r-mgcv@1.9-4 r-marginaleffects@0.31.0 r-magrittr@2.0.4 r-loo@2.8.0 r-insight@1.4.3 r-ggplot2@4.0.1 r-generics@0.1.4 r-dplyr@1.1.4 r-brms@2.23.0 r-bayesplot@1.14.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/nicholasjclark/mvgam
Licenses: Expat
Build system: r
Synopsis: Multivariate (Dynamic) Generalized Additive Models
Description:

Fit Bayesian Dynamic Generalized Additive Models to multivariate observations. Users can build nonlinear State-Space models that can incorporate semiparametric effects in observation and process components, using a wide range of observation families. Estimation is performed using Markov Chain Monte Carlo with Hamiltonian Monte Carlo in the software Stan'. References: Clark & Wells (2023) <doi:10.1111/2041-210X.13974>.

r-mvnormaltest 1.0.1
Propagated dependencies: r-nortest@1.0-4 r-moments@0.14.1 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mvnormalTest
Licenses: GPL 2+
Build system: r
Synopsis: Powerful Tests for Multivariate Normality
Description:

This package provides a simple informative powerful test (mvnTest()) for multivariate normality proposed by Zhou and Shao (2014) <doi:10.1080/02664763.2013.839637>, which combines kurtosis with Shapiro-Wilk test that is easy for biomedical researchers to understand and easy to implement in all dimensions. This package also contains some other multivariate normality tests including Fattorini's FA test (faTest()), Mardia's skewness and kurtosis test (mardia()), Henze-Zirkler's test (mhz()), Bowman and Shenton's test (msk()), Roystonâ s H test (msw()), and Villasenor-Alva and Gonzalez-Estrada's test (msw()). Empirical power calculation functions for these tests are also provided. In addition, this package includes some functions to generate several types of multivariate distributions mentioned in Zhou and Shao (2014).

r-multibd 1.0.1
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultiBD
Licenses: ASL 2.0
Build system: r
Synopsis: Multivariate Birth-Death Processes
Description:

Computationally efficient functions to provide direct likelihood-based inference for partially-observed multivariate birth-death processes. Such processes range from a simple Yule model to the complex susceptible-infectious-removed model in disease dynamics. Efficient likelihood evaluation facilitates maximum likelihood estimation and Bayesian inference.

r-makepipe 0.2.2
Propagated dependencies: r-roxygen2@7.3.3 r-r6@2.6.1 r-nomnoml@0.3.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://kinto-b.github.io/makepipe/
Licenses: GPL 3+
Build system: r
Synopsis: Pipeline Tools Inspired by 'GNU Make'
Description:

This package provides a suite of tools for transforming an existing workflow into a self-documenting pipeline with very minimal upfront costs. Segments of the pipeline are specified in much the same way a Make rule is, by declaring an executable recipe (which might be an R script), along with the corresponding targets and dependencies. When the entire pipeline is run through, only those recipes that need to be executed will be. Meanwhile, execution metadata is captured behind the scenes for later inspection.

r-madr 1.0.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=madr
Licenses: GPL 3
Build system: r
Synopsis: Model Averaged Double Robust Estimation
Description:

Estimates average treatment effects using model average double robust (MA-DR) estimation. The MA-DR estimator is defined as weighted average of double robust estimators, where each double robust estimator corresponds to a specific choice of the outcome model and the propensity score model. The MA-DR estimator extend the desirable double robustness property by achieving consistency under the much weaker assumption that either the true propensity score model or the true outcome model be within a specified, possibly large, class of models.

r-macrocol 0.1.0
Propagated dependencies: r-readxl@1.4.5 r-r-utils@2.13.0 r-openxlsx@4.2.8.1 r-lubridate@1.9.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: <https://github.com/pedroCabraAcela/Scrapping-Colombian-Macrodata>
Licenses: ASL 2.0
Build system: r
Synopsis: Colombian Macro-Financial Time Series Generator
Description:

This repository aims to contribute to the econometric models production with Colombian data, by providing a set of web-scrapping functions of some of the main macro-financial indicators. All the sources are public and free, but the advantage of these functions is that they directly download and harmonize the information in R's environment. No need to import or download additional files. You only need an internet connection!

r-mogiw 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mogiw
Licenses: GPL 3
Build system: r
Synopsis: The Marshal–Olkin Generalized Inverse Weibull Distribution
Description:

Density, distribution function, quantile function, and random generation function based on Salem, H. M. (2019)<doi:10.5539/mas.v13n2p54>. In addition, a numerical method for maximum likelihood estimation is provided.

r-mlr3fda 0.3.0
Propagated dependencies: r-tf@0.3.4 r-r6@2.6.1 r-paradox@1.0.1 r-mlr3pipelines@0.10.0 r-mlr3misc@0.19.0 r-mlr3@1.2.0 r-lgr@0.5.0 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlr3fda.mlr-org.com
Licenses: LGPL 3
Build system: r
Synopsis: Extending 'mlr3' to Functional Data Analysis
Description:

Extends the mlr3 ecosystem to functional analysis by adding support for irregular and regular functional data as defined in the tf package. The package provides PipeOps for preprocessing functional columns and for extracting scalar features, thereby allowing standard machine learning algorithms to be applied afterwards. Available operations include simple functional features such as the mean or maximum, smoothing, interpolation, flattening, and functional PCA'.

r-mixmatrix 0.2.8
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-glue@1.8.0 r-cholwishart@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/gzt/MixMatrix/
Licenses: GPL 3
Build system: r
Synopsis: Classification with Matrix Variate Normal and t Distributions
Description:

This package provides sampling and density functions for matrix variate normal, t, and inverted t distributions; ML estimation for matrix variate normal and t distributions using the EM algorithm, including some restrictions on the parameters; and classification by linear and quadratic discriminant analysis for matrix variate normal and t distributions described in Thompson et al. (2019) <doi:10.1080/10618600.2019.1696208>. Performs clustering with matrix variate normal and t mixture models.

r-micromodal 1.0.0
Propagated dependencies: r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/kennedymwavu/micromodal
Licenses: Expat
Build system: r
Synopsis: Create Simple and Elegant Modal Dialogs in 'shiny'
Description:

Enables you to create accessible modal dialogs, with confidence and with minimal configuration.

r-moonboot 2.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=moonboot
Licenses: FSDG-compatible
Build system: r
Synopsis: m-Out-of-n Bootstrap Functions
Description:

This package provides functions and examples based on the m-out-of-n bootstrap suggested by Politis, D.N. and Romano, J.P. (1994) <doi:10.1214/aos/1176325770>. Additionally there are functions to estimate the scaling factor tau and the subsampling size m. For a detailed description and a full list of references, see Dalitz, C. and Lögler, F. (2025) <doi:10.32614/RJ-2025-031>.

r-mbnmatime 0.2.6
Dependencies: jags@4.3.1
Propagated dependencies: r-zoo@1.8-14 r-scales@1.4.0 r-rjags@4-17 r-reshape2@1.4.5 r-rdpack@2.6.4 r-r2jags@0.8-9 r-png@0.1-8 r-magrittr@2.0.4 r-lspline@1.0-0 r-knitr@1.50 r-igraph@2.2.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-dplyr@1.1.4 r-crayon@1.5.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://hugaped.github.io/MBNMAtime/
Licenses: GPL 3
Build system: r
Synopsis: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
Description:

Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting.

r-mvinfluence 0.9.2
Propagated dependencies: r-heplots@1.8.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/friendly/mvinfluence
Licenses: GPL 2
Build system: r
Synopsis: Influence Measures and Diagnostic Plots for Multivariate Linear Models
Description:

Computes regression deletion diagnostics for multivariate linear models and provides some associated diagnostic plots. The diagnostic measures include hat-values (leverages), generalized Cook's distance, and generalized squared studentized residuals. Several types of plots to detect influential observations are provided.

r-nlts 1.0-2
Propagated dependencies: r-locfit@1.5-9.12 r-acepack@1.6.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: http://ento.psu.edu/directory/onb1
Licenses: GPL 3
Build system: r
Synopsis: Nonlinear Time Series Analysis
Description:

R functions for (non)linear time series analysis with an emphasis on nonparametric autoregression and order estimation, and tests for linearity / additivity.

r-nmcalc 0.0.4
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NMcalc
Licenses: Expat
Build system: r
Synopsis: Basic Calculations for PK/PD Modeling
Description:

Essentials for PK/PD (pharmacokinetics/pharmacodynamics) such as area under the curve, (geometric) coefficient of variation, and other calculations that are not part of base R. This is not a noncompartmental analysis (NCA) package.

r-nonmemica 1.0.11
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nonmemica
Licenses: GPL 3
Build system: r
Synopsis: Create and Evaluate NONMEM Models in a Project Context
Description:

Systematically creates and modifies NONMEM(R) control streams. Harvests NONMEM output, builds run logs, creates derivative data, generates diagnostics. NONMEM (ICON Development Solutions <https://www.iconplc.com/>) is software for nonlinear mixed effects modeling. See package?nonmemica'.

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