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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-mixopt 0.1.3
Propagated dependencies: r-splitfngr@0.1.2 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/CollinErickson/mixopt
Licenses: LGPL 3+
Build system: r
Synopsis: Mixed Variable Optimization
Description:

Mixed variable optimization for non-linear functions. Can optimize function whose inputs are a combination of continuous, ordered, and unordered variables.

r-meconetcomp 0.7.0
Propagated dependencies: r-reshape2@1.4.5 r-r6@2.6.1 r-microeco@2.0.0 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggpubr@0.6.2 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/ChiLiubio/meconetcomp
Licenses: GPL 3
Build system: r
Synopsis: Compare Microbial Networks of 'trans_network' Class of 'microeco' Package
Description:

Compare microbial co-occurrence networks created from trans_network class of microeco package <https://github.com/ChiLiubio/microeco>. This package is the extension of trans_network class of microeco package and especially useful when different networks are constructed and analyzed simultaneously.

r-mmibain 0.2.0
Propagated dependencies: r-shinythemes@1.2.0 r-shiny@1.11.1 r-psych@2.5.6 r-mmcards@0.1.1 r-lavaan@0.6-20 r-igraph@2.2.1 r-ggplot2@4.0.1 r-e1071@1.7-16 r-dt@0.34.0 r-car@3.1-3 r-broom@1.0.10 r-bain@0.2.11
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mightymetrika/mmibain
Licenses: Expat
Build system: r
Synopsis: Bayesian Informative Hypotheses Evaluation Web Applications
Description:

Researchers often have expectations about the relations between means of different groups or standardized regression coefficients; using informative hypothesis testing to incorporate these expectations into the analysis through order constraints increases statistical power Vanbrabant and Rosseel (2020) <doi:10.4324/9780429273872-14>. Another valuable tool, the Bayes factor, can evaluate evidence for multiple hypotheses without concerns about multiple testing, and can be used in Bayesian updating Hoijtink, Mulder, van Lissa & Gu (2019) <doi:10.1037/met0000201>. The bain R package enables informative hypothesis testing using the Bayes factor. The mmibain package provides shiny web applications based on bain'. The RepliCrisis() function launches a shiny card game to simulate the evaluation of replication studies while the mmibain() function launches a shiny application to fit Bayesian informative hypotheses evaluation models from bain'.

r-multiwayregression 1.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultiwayRegression
Licenses: GPL 3
Build system: r
Synopsis: Perform Tensor-on-Tensor Regression
Description:

This package provides functions to predict one multi-way array (i.e., a tensor) from another multi-way array, using a low-rank CANDECOMP/PARAFAC (CP) factorization and a ridge (L_2) penalty [Lock, EF (2018) <doi:10.1080/10618600.2017.1401544>]. Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model.

r-mess 0.6.0
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-mass@7.3-65 r-kinship2@1.9.6.2 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-ggformula@1.0.0 r-geepack@1.3.13 r-geem@0.10.1 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/ekstroem/MESS
Licenses: GPL 2
Build system: r
Synopsis: Miscellaneous Esoteric Statistical Scripts
Description:

This package provides a mixed collection of useful and semi-useful diverse statistical functions, some of which may even be referenced in The R Primer book. See Ekstrøm, C. T. (2016). The R Primer. 2nd edition. Chapman & Hall.

r-msos 1.2.0
Propagated dependencies: r-tree@1.0-45 r-mclust@6.1.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/coatless/msos
Licenses: Expat
Build system: r
Synopsis: Data Sets and Functions Used in Multivariate Statistics: Old School by John Marden
Description:

Multivariate Analysis methods and data sets used in John Marden's book Multivariate Statistics: Old School (2015) <ISBN:978-1456538835>. This also serves as a companion package for the STAT 571: Multivariate Analysis course offered by the Department of Statistics at the University of Illinois at Urbana-Champaign ('UIUC').

r-mcmc-qpcr 1.2.4
Propagated dependencies: r-mcmcglmm@2.36 r-ggplot2@4.0.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MCMC.qpcr
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Analysis of qRT-PCR Data
Description:

Quantitative RT-PCR data are analyzed using generalized linear mixed models based on lognormal-Poisson error distribution, fitted using MCMC. Control genes are not required but can be incorporated as Bayesian priors or, when template abundances correlate with conditions, as trackers of global effects (common to all genes). The package also implements a lognormal model for higher-abundance data and a "classic" model involving multi-gene normalization on a by-sample basis. Several plotting functions are included to extract and visualize results. The detailed tutorial is available here: <https://matzlab.weebly.com/uploads/7/6/2/2/76229469/mcmc.qpcr.tutorial.v1.2.4.pdf>.

r-marquee 1.2.1
Propagated dependencies: r-vctrs@0.6.5 r-textshaping@1.0.4 r-systemfonts@1.3.1 r-s7@0.2.1 r-rlang@1.1.6 r-png@0.1-8 r-lifecycle@1.0.4 r-jpeg@0.1-11 r-glue@1.8.0 r-cpp11@0.5.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://marquee.r-lib.org
Licenses: Expat
Build system: r
Synopsis: Markdown Parser and Renderer for R Graphics
Description:

This package provides the mean to parse and render markdown text with grid along with facilities to define the styling of the text.

r-mtdrh 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MTDrh
Licenses: GPL 2
Build system: r
Synopsis: Mass Transportation Distance Rank Histogram
Description:

The Mass Transportation Distance rank histogram was developed to assess the reliability of scenarios with equal or different probabilities of occurrence <doi:10.1002/we.1872>.

r-metadynminer 0.1.7
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://metadynamics.cz/metadynminer/
Licenses: GPL 3
Build system: r
Synopsis: Tools to Read, Analyze and Visualize Metadynamics HILLS Files from 'Plumed'
Description:

Metadynamics is a state of the art biomolecular simulation technique. Plumed Tribello, G.A. et al. (2014) <doi:10.1016/j.cpc.2013.09.018> program makes it possible to perform metadynamics using various simulation codes. The results of metadynamics done in Plumed can be analyzed by metadynminer'. The package metadynminer reads 1D and 2D metadynamics hills files from Plumed package. It uses a fast algorithm by Hosek, P. and Spiwok, V. (2016) <doi:10.1016/j.cpc.2015.08.037> to calculate a free energy surface from hills. Minima can be located and plotted on the free energy surface. Transition states can be analyzed by Nudged Elastic Band method by Henkelman, G. and Jonsson, H. (2000) <doi:10.1063/1.1323224>. Free energy surfaces, minima and transition paths can be plotted to produce publication quality images.

r-mcga 3.0.9
Propagated dependencies: r-rcpp@1.1.0 r-ga@3.2.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mcga
Licenses: GPL 2+
Build system: r
Synopsis: Machine Coded Genetic Algorithms for Real-Valued Optimization Problems
Description:

Machine coded genetic algorithm (MCGA) is a fast tool for real-valued optimization problems. It uses the byte representation of variables rather than real-values. It performs the classical crossover operations (uniform) on these byte representations. Mutation operator is also similar to classical mutation operator, which is to say, it changes a randomly selected byte value of a chromosome by +1 or -1 with probability 1/2. In MCGAs there is no need for encoding-decoding process and the classical operators are directly applicable on real-values. It is fast and can handle a wide range of a search space with high precision. Using a 256-unary alphabet is the main disadvantage of this algorithm but a moderate size population is convenient for many problems. Package also includes multi_mcga function for multi objective optimization problems. This function sorts the chromosomes using their ranks calculated from the non-dominated sorting algorithm.

r-modstatr 1.4.1
Propagated dependencies: r-jmuoutlier@2.2 r-hypergeo@1.2-14 r-gsl@2.1-9 r-ellipse@0.5.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://fbertran.github.io/homepage/
Licenses: GPL 3
Build system: r
Synopsis: Statistical Modelling in Action with R
Description:

Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutrition analyses.

r-mpt 1.0-0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://www.mathpsy.uni-tuebingen.de/wickelmaier/
Licenses: GPL 2+
Build system: r
Synopsis: Multinomial Processing Tree Models
Description:

Fitting and testing multinomial processing tree (MPT) models, a class of nonlinear models for categorical data. The parameters are the link probabilities of a tree-like graph and represent the latent cognitive processing steps executed to arrive at observable response categories (Batchelder & Riefer, 1999 <doi:10.3758/bf03210812>; Erdfelder et al., 2009 <doi:10.1027/0044-3409.217.3.108>; Riefer & Batchelder, 1988 <doi:10.1037/0033-295x.95.3.318>).

r-metadose 1.0.1
Propagated dependencies: r-rms@8.1-0 r-rlang@1.1.6 r-metafor@4.8-0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/asmpro7/MetaDose/
Licenses: GPL 3+
Build system: r
Synopsis: Dose-Response Meta-Regression for Meta-Analysis
Description:

Conducting linear and nonlinear dose-response meta-regression using study-level summary data. It supports both continuous and binary outcomes and allows modeling of dose-effect relationships using linear trends or nonlinear restricted cubic splines. The package is designed to facilitate transparent, flexible, and reproducible dose-response meta-analyses, with built-in visualization of fitted dose-response curves.

r-maldiquantforeign 0.14.1
Propagated dependencies: r-xml@3.99-0.20 r-readmzxmldata@2.8.4 r-readbrukerflexdata@1.9.3 r-maldiquant@1.22.3 r-digest@0.6.39 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://strimmerlab.github.io/software/maldiquant/
Licenses: GPL 3+
Build system: r
Synopsis: Import/Export Routines for 'MALDIquant'
Description:

This package provides functions for reading (tab, csv, Bruker fid, Ciphergen XML, mzXML, mzML, imzML, Analyze 7.5, CDF, mMass MSD) and writing (tab, csv, mMass MSD, mzML, imzML) different file formats of mass spectrometry data into/from MALDIquant objects.

r-maxrgain 1.1.0
Propagated dependencies: r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=maxRgain
Licenses: GPL 3+
Build system: r
Synopsis: Maximizing Polyclonal Selection Gains Using Integer Programming
Description:

This package implements an Integer Programming-based method for optimising genetic gain in polyclonal selection, where the goal is to select a group of genotypes that jointly meet multi-trait selection criteria. The method uses predictors of genotypic effects obtained from the fitting of mixed models. Its application is demonstrated with grapevine data, but is applicable to other species and breeding contexts. For more details see Surgy et al. (2025) <doi:10.1007/s00122-025-04885-0>.

r-mdsopt 0.7-7
Propagated dependencies: r-symbolicda@0.7-3 r-spdep@1.4-1 r-smacof@2.1-7 r-plotrix@3.8-13 r-clustersim@0.51-6 r-animation@2.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mdsOpt
Licenses: GPL 2+
Build system: r
Synopsis: Searching for Optimal MDS Procedure for Metric and Interval-Valued Data
Description:

Selecting the optimal multidimensional scaling (MDS) procedure for metric data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal). Selecting the optimal multidimensional scaling (MDS) procedure for interval-valued data via metric MDS (ratio, interval, mspline).Selecting the optimal multidimensional scaling procedure for interval-valued data by varying all combinations of normalization and optimization methods.Selecting the optimal MDS procedure for statistical data referring to the evaluation of tourist attractiveness of Lower Silesian counties. (Borg, I., Groenen, P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Walesiak, M. (2016) <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017) <doi:10.15611/ekt.2017.3.01>).

r-movewindspeed 0.2.4
Propagated dependencies: r-rcpp@1.1.0 r-move@4.2.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://gitlab.com/bartk/moveWindSpeed
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Estimate Wind Speeds from Bird Trajectories
Description:

Estimating wind speed from trajectories of individually tracked birds using a maximum likelihood approach.

r-magi 1.2.5
Propagated dependencies: r-roptim@0.1.7 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gridextra@2.3 r-gridbase@0.4-7 r-desolve@1.40 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://doi.org/10.18637/jss.v109.i04
Licenses: Expat
Build system: r
Synopsis: MAnifold-Constrained Gaussian Process Inference
Description:

This package provides fast and accurate inference for the parameter estimation problem in Ordinary Differential Equations, including the case when there are unobserved system components. Implements the MAGI method (MAnifold-constrained Gaussian process Inference) of Yang, Wong, and Kou (2021) <doi:10.1073/pnas.2020397118>. A user guide is provided by the accompanying software paper Wong, Yang, and Kou (2024) <doi:10.18637/jss.v109.i04>.

r-msaenet 3.1.2
Propagated dependencies: r-survival@3.8-3 r-ncvreg@3.16.0 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-glmnet@4.1-10 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://nanx.me/msaenet/
Licenses: GPL 3+
Build system: r
Synopsis: Multi-Step Adaptive Estimation Methods for Sparse Regressions
Description:

Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in high-dimensional regressions proposed in Xiao and Xu (2015) <DOI:10.1080/00949655.2015.1016944>, with support for multi-step adaptive MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.

r-mave 1.3.12
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mda@0.5-5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MAVE
Licenses: GPL 2+
Build system: r
Synopsis: Methods for Dimension Reduction
Description:

This package provides functions for dimension reduction, using MAVE (Minimum Average Variance Estimation), OPG (Outer Product of Gradient) and KSIR (sliced inverse regression of kernel version). Methods for selecting the best dimension are also included. Xia (2002) <doi:10.1111/1467-9868.03411>; Xia (2007) <doi:10.1214/009053607000000352>; Wang (2008) <doi:10.1198/016214508000000418>.

r-msce 1.0.2
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=msce
Licenses: GPL 2+
Build system: r
Synopsis: Hazard of Multi-Stage Clonal Expansion Models
Description:

This package provides functions to calculate hazard and survival function of Multi-Stage Clonal Expansion Models used in cancer epidemiology. For the Two-Stage Clonal Expansion Model an exact solution is implemented assuming piecewise constant parameters, see Heidenreich, Luebeck, Moolgavkar (1997) <doi:10.1111/j.1539-6924.1997.tb00878.x>. Numerical solutions are provided for its extensions, see also Little, Vineis, Li (2008) <doi:10.1016/j.jtbi.2008.05.027>.

r-manhplot 1.1
Propagated dependencies: r-reshape2@1.4.5 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/cgrace1978/manhplot/
Licenses: GPL 2+
Build system: r
Synopsis: The Manhattan++ Plot
Description:

This plot integrates annotation into a manhattan plot. The plot is implemented as a heatmap, which is binned using -log10(p-value) and chromosome position. Annotation currently supported is minor allele frequency and gene function high impact variants.

r-mvnormtest 0.1-9-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mvnormtest
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Normality Test for Multivariate Variables
Description:

Generalization of Shapiro-Wilk test for multivariate variables.

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Total results: 69112