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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-mreg 1.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/shug0131/mreg
Licenses: GPL 3+
Build system: r
Synopsis: Fits Regression Models When the Outcome is Partially Missing
Description:

This package implements the methods described in Bond S, Farewell V, 2006, Exact Likelihood Estimation for a Negative Binomial Regression Model with Missing Outcomes, Biometrics.

r-mediana 1.0.8
Propagated dependencies: r-survival@3.8-3 r-mvtnorm@1.3-3 r-mass@7.3-65 r-foreach@1.5.2 r-dorng@1.8.6.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://gpaux.github.io/Mediana/
Licenses: GPL 2
Build system: r
Synopsis: Clinical Trial Simulations
Description:

This package provides a general framework for clinical trial simulations based on the Clinical Scenario Evaluation (CSE) approach. The package supports a broad class of data models (including clinical trials with continuous, binary, survival-type and count-type endpoints as well as multivariate outcomes that are based on combinations of different endpoints), analysis strategies and commonly used evaluation criteria.

r-micompr 1.3.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/nunofachada/micompr
Licenses: Expat
Build system: r
Synopsis: Multivariate Independent Comparison of Observations
Description:

This package provides a procedure for comparing multivariate samples associated with different groups. It uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. The procedure is independent of the distributional properties of samples and automatically selects features that best explain their differences, avoiding manual selection of specific points or summary statistics. It is appropriate for comparing samples of time series, images, spectrometric measures or similar multivariate observations. This package is described in Fachada et al. (2016) <doi:10.32614/RJ-2016-055>.

r-metatest 1.0-5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=metatest
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Fit and Test Metaregression Models
Description:

Fits and tests meta regression models and generates a number of useful test statistics: next to t- and z-tests, the likelihood ratio, bartlett corrected likelihood ratio and permutation tests are performed on the model coefficients.

r-mutossgui 0.1-12
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-plotrix@3.8-13 r-mutoss@0.1-13 r-multcomp@1.4-29 r-jgr@1.9-2 r-javagd@0.6-6 r-commonjavajars@1.1-0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://mutoss.r-forge.r-project.org/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Graphical User Interface for the MuToss Project
Description:

This package provides a graphical user interface for the MuToss Project.

r-missalpha 0.2.0
Propagated dependencies: r-nloptr@2.2.1 r-ga@3.2.4 r-deoptim@2.2-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=missalpha
Licenses: Expat
Build system: r
Synopsis: Find Range of Cronbach Alpha with a Dataset Including Missing Data
Description:

This package provides functions to calculate the minimum and maximum possible values of Cronbach's alpha when item-level missing data are present. Cronbach's alpha (Cronbach, 1951 <doi:10.1007/BF02310555>) is one of the most widely used measures of internal consistency in the social, behavioral, and medical sciences (Bland & Altman, 1997 <doi:10.1136/bmj.314.7080.572>; Tavakol & Dennick, 2011 <doi:10.5116/ijme.4dfb.8dfd>). However, conventional implementations assume complete data, and listwise deletion is often applied when missingness occurs, which can lead to biased or overly optimistic reliability estimates (Enders, 2003 <doi:10.1037/1082-989X.8.3.322>). This package implements computational strategies including enumeration, Monte Carlo sampling, and optimization algorithms (e.g., Genetic Algorithm, Differential Evolution, Sequential Least Squares Programming) to obtain sharp lower and upper bounds of Cronbach's alpha under arbitrary missing data patterns. The approach is motivated by Manski's partial identification framework and pessimistic bounding ideas from optimization literature.

r-mpmcorrelogram 0.1-5
Propagated dependencies: r-vegan@2.7-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mpmcorrelogram
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Partial Mantel Correlogram
Description:

This package provides functions to compute and plot multivariate (partial) Mantel correlograms.

r-mvpot 0.1.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/r-fndv/mvPot
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Peaks-over-Threshold Modelling for Spatial Extreme Events
Description:

This package provides tools for high-dimensional peaks-over-threshold inference and simulation of Brown-Resnick and extremal Student spatial extremal processes. These include optimization routines based on censored likelihood and gradient scoring, and exact simulation algorithms for max-stable and multivariate Pareto distributions based on rejection sampling. Fast multivariate Gaussian and Student distribution functions using separation-of-variable algorithm with quasi Monte Carlo integration are also provided. Key references include de Fondeville and Davison (2018) <doi:10.1093/biomet/asy026>, Thibaud and Opitz (2015) <doi:10.1093/biomet/asv045>, Wadsworth and Tawn (2014) <doi:10.1093/biomet/ast042> and Genz and Bretz (2009) <doi:10.1007/978-3-642-01689-9>.

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-msaehb 0.1.0
Propagated dependencies: r-rjags@4-17 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=msaeHB
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Small Area Estimation using Hierarchical Bayesian Method
Description:

This package implements area level of multivariate small area estimation using Hierarchical Bayesian method under Normal and T distribution. The rjags package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.

r-missmech 1.0.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/indenkun/MissMech
Licenses: GPL 2+
Build system: r
Synopsis: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random
Description:

To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)", Journal of Statistical Software, 56(6), 1-31. <https://www.jstatsoft.org/v56/i06/> <doi:10.18637/jss.v056.i06>.

r-mbsp 5.0
Propagated dependencies: r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-gigrvg@0.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MBSP
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Bayesian Model with Shrinkage Priors
Description:

Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <doi:10.1016/j.jmva.2018.04.010>.

r-mojson 0.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rjsonio@2.0.0 r-magrittr@2.0.4 r-iterators@1.0.14 r-comparedf@2.3.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/chriswweibo/mojson
Licenses: Expat
Build system: r
Synopsis: Serialization-Style Flattening and Description for JSON
Description:

Support JSON flattening in a long data frame way, where the nesting keys will be stored in the absolute path. It also provides an easy way to summarize the basic description of a JSON list. The idea of mojson is to transform a JSON object in an absolute serialization way, which means the early key-value pairs will appear in the heading rows of the resultant data frame. mojson also provides an alternative way of comparing two different JSON lists, returning the left/inner/right-join style results.

r-mazamacoreutils 0.6.0
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-stringr@1.6.0 r-rvest@1.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-logger@0.4.1 r-geohashtools@0.3.3 r-dplyr@1.1.4 r-digest@0.6.39 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/MazamaScience/MazamaCoreUtils
Licenses: GPL 3
Build system: r
Synopsis: Utility Functions for Production R Code
Description:

This package provides a suite of utility functions providing functionality commonly needed for production level projects such as logging, error handling, cache management and date-time parsing. Functions for date-time parsing and formatting require that time zones be specified explicitly, avoiding a common source of error when working with environmental time series.

r-monaco 0.2.2
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/stla/monaco
Licenses: GPL 3
Build system: r
Synopsis: The 'Monaco' Editor as a HTML Widget
Description:

This package provides a HTML widget rendering the Monaco editor. The Monaco editor is the code editor which powers VS Code'. It is particularly well developed for JavaScript'. In addition to the built-in features of the Monaco editor, the widget allows to prettify multiple languages, to view the HTML rendering of Markdown code, and to view and resize SVG images.

r-mdbr 0.2.1
Propagated dependencies: r-readr@2.1.6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://k5cents.github.io/mdbr/
Licenses: GPL 3
Build system: r
Synopsis: Work with Microsoft Access Files
Description:

Use the open source MDB Tools utilities <https://github.com/mdbtools/mdbtools/>. Primarily used for converting proprietary Microsoft Access files to simple text files and then reading those as data frames.

r-mmod 1.3.3
Propagated dependencies: r-pegas@1.3 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/dwinter/mmod
Licenses: Expat
Build system: r
Synopsis: Modern Measures of Population Differentiation
Description:

This package provides functions for measuring population divergence from genotypic data.

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-mctq 0.3.2
Propagated dependencies: r-lubridate@1.9.4 r-lifecycle@1.0.4 r-hms@1.1.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://docs.ropensci.org/mctq/
Licenses: Expat
Build system: r
Synopsis: Tools to Process the Munich ChronoType Questionnaire (MCTQ)
Description:

This package provides a complete toolkit to process the Munich ChronoType Questionnaire (MCTQ) for its three versions (standard, micro, and shift). MCTQ is a quantitative and validated tool to assess chronotypes using peoples sleep behavior, originally presented by Till Roenneberg, Anna Wirz-Justice, and Martha Merrow (2003, <doi:10.1177/0748730402239679>).

r-mlbc 0.2.2
Propagated dependencies: r-tmb@1.9.18 r-rcppeigen@0.3.4.0.2 r-numderiv@2016.8-1.1 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=MLBC
Licenses: Expat
Build system: r
Synopsis: Bias Correction Methods for Models Using Synthetic Data
Description:

This package implements three bias-correction techniques from Battaglia et al. (2025 <doi:10.48550/arXiv.2402.15585>) to improve inference in regression models with covariates generated by AI or machine learning.

r-mnet 0.1.4
Propagated dependencies: r-mlvar@0.5.5 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mnet
Licenses: GPL 2
Build system: r
Synopsis: Modeling Group Differences and Moderation Effects in Statistical Network Models
Description:

This package provides a toolbox for modeling manifest and latent group differences and moderation effects in various statistical network models.

r-multiobjectivemdp 1.0.0
Propagated dependencies: r-prodlim@2025.04.28 r-pracma@2.4.6 r-nsga2r@1.1 r-lintools@0.1.7 r-linprog@0.9-4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiobjectiveMDP
Licenses: GPL 3
Build system: r
Synopsis: Solution Methods for Multi-Objective Markov Decision Processes
Description:

Compendium of the most representative algorithms in print---vector-valued dynamic programming, linear programming, policy iteration, the weighting factor approach---for solving multi-objective Markov decision processes, with or without reward discount, over a finite or infinite horizon. Mifrani, A. (2024) <doi:10.1007/s10479-024-06439-x>; Mifrani, A. & Noll, D. <doi:10.48550/arXiv.2502.13697>; Wakuta, K. (1995) <doi:10.1016/0304-4149(94)00064-Z>.

r-maxmc 0.1.2
Propagated dependencies: r-scales@1.4.0 r-pso@1.0.4 r-nmof@2.11-0 r-gensa@1.1.15 r-ga@3.2.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/julienneves/MaxMC
Licenses: GPL 3+
Build system: r
Synopsis: Maximized Monte Carlo
Description:

An implementation of the Monte Carlo techniques described in details by Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.

r-madantextnetwork 0.1.0
Propagated dependencies: r-xlsx@0.6.5 r-visnetwork@2.1.4 r-udpipe@0.8.16 r-topicmodels@0.2-17 r-tm@0.7-16 r-tidytext@0.4.3 r-tidyr@1.3.1 r-textminer@3.0.6 r-stringr@1.6.0 r-stringi@1.8.7 r-stopwords@2.3 r-shinythemes@1.2.0 r-shiny@1.11.1 r-persianstemmer@1.0 r-ngram@3.2.3 r-lattice@0.22-7 r-igraph@2.2.1 r-hwordcloud@0.1.0 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MadanTextNetwork
Licenses: GPL 3
Build system: r
Synopsis: Persian Text Mining Tool for Co-Occurrence Network
Description:

This package provides an extension to MadanText for creating and analyzing co-occurrence networks in Persian text data. This package mainly makes use of the PersianStemmer (Safshekan, R., et al. (2019). <https://CRAN.R-project.org/package=PersianStemmer>), udpipe (Wijffels, J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and shiny (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>) packages.

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Total results: 69112