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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-multiwayvcov 1.2.3
Propagated dependencies: r-sandwich@3.1-1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://sites.google.com/site/npgraham1/research/code
Licenses: FreeBSD
Build system: r
Synopsis: Multi-Way Standard Error Clustering
Description:

Exports two functions implementing multi-way clustering using the method suggested by Cameron, Gelbach, & Miller (2011) and cluster (or block) bootstrapping for estimating variance-covariance matrices. Normal one and two-way clustering matches the results of other common statistical packages. Missing values are handled transparently and rudimentary parallelization support is provided.

r-monad 0.1.1
Propagated dependencies: r-s7@0.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mikmart/monad
Licenses: Expat
Build system: r
Synopsis: Operators and Generics for Monads
Description:

Compose generic monadic function pipelines with %>>% and %>-% based on implementing the S7 generics fmap() and bind(). Methods are provided for the built-in list type and the maybe class from the maybe package. The concepts are modelled directly after the Monad typeclass in Haskell, but adapted for idiomatic use in R.

r-mlbstats 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mlbstats
Licenses: Expat
Build system: r
Synopsis: Major League Baseball Player Statistics Calculator
Description:

Computational functions for player metrics in major league baseball including batting, pitching, fielding, base-running, and overall player statistics. This package is actively maintained with new metrics being added as they are developed.

r-mufimeshgp 0.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-lhs@1.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MuFiMeshGP
Licenses: LGPL 2.0+
Build system: r
Synopsis: Multi-Fidelity Emulator for Computer Experiments with Tunable Fidelity Levels
Description:

Multi-Fidelity emulator for data from computer simulations of the same underlying system but at different input locations and fidelity level, where both the input locations and fidelity level can be continuous. Active Learning can be performed with an implementation of the Integrated Mean Square Prediction Error (IMSPE) criterion developed by Boutelet and Sung (2025, <doi:10.48550/arXiv.2503.23158>).

r-msgarchelm 0.1.0
Propagated dependencies: r-nnfor@0.9.9 r-msgarch@2.51 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MSGARCHelm
Licenses: GPL 3
Build system: r
Synopsis: Hybridization of MS-GARCH and ELM Model
Description:

This package implements the three parallel forecast combinations of Markov Switching GARCH and extreme learning machine model along with the selection of appropriate model for volatility forecasting. For method details see Hsiao C, Wan SK (2014). <doi:10.1016/j.jeconom.2013.11.003>, Hansen BE (2007). <doi:10.1111/j.1468-0262.2007.00785.x>, Elliott G, Gargano A, Timmermann A (2013). <doi:10.1016/j.jeconom.2013.04.017>.

r-modelmap 3.4.0.8
Propagated dependencies: r-raster@3.6-32 r-randomforest@4.7-1.2 r-presenceabsence@1.1.11 r-mgcv@1.9-4 r-handtill2001@1.0.3 r-fields@17.1 r-corrplot@0.95
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=ModelMap
Licenses: FSDG-compatible
Build system: r
Synopsis: Modeling and Map Production using Random Forest and Related Stochastic Models
Description:

This package creates sophisticated models of training data and validates the models with an independent test set, cross validation, or Out Of Bag (OOB) predictions on the training data. Create graphs and tables of the model validation results. Applies these models to GIS .img files of predictors to create detailed prediction surfaces. Handles large predictor files for map making, by reading in the .img files in chunks, and output to the .txt file the prediction for each data chunk, before reading the next chunk of data.

r-monitor 1.2
Propagated dependencies: r-tuner@1.4.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/jonkatz2/monitor
Licenses: GPL 2
Build system: r
Synopsis: Acoustic Template Detection in R
Description:

Acoustic template detection and monitoring database interface. Create, modify, save, and use templates for detection of animal vocalizations. View, verify, and extract results. Upload a MySQL schema to a existing instance, manage survey metadata, write and read templates and detections locally or to the database.

r-maicchecks 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-quadprog@1.5-8 r-lpsolve@5.6.23 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=maicChecks
Licenses: GPL 3+
Build system: r
Synopsis: Exact Matching and Matching-Adjusted Indirect Comparison (MAIC)
Description:

The second version (0.2.0) contains implementation for exact matching which is an alternative to propensity score matching (see Glimm & Yau (2025)). The initial version (0.1.2) contains a collection of easy-to-implement tools for checking whether a MAIC can be conducted, as well as an alternative way of calculating weights (see Glimm & Yau (2021) <doi:10.1002/pst.2210>.).

r-mixmeta 1.2.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/gasparrini/mixmeta
Licenses: GPL 3+
Build system: r
Synopsis: An Extended Mixed-Effects Framework for Meta-Analysis
Description:

This package provides a collection of functions to perform various meta-analytical models through a unified mixed-effects framework, including standard univariate fixed and random-effects meta-analysis and meta-regression, and non-standard extensions such as multivariate, multilevel, longitudinal, and dose-response models.

r-mvtsplot 1.0-5
Propagated dependencies: r-rcolorbrewer@1.1-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/rdpeng/mvtsplot
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Time Series Plot
Description:

This package provides a function for plotting multivariate time series data.

r-micsplines 1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MICsplines
Licenses: GPL 2
Build system: r
Synopsis: The Computing of Monotonic Spline Bases and Constrained Least-Squares Estimates
Description:

Providing C implementation for the computing of monotonic spline bases, including M-splines, I-splines, and C-splines, denoted by MIC splines. The definitions of the spline bases are described in Meyer (2008) <doi: 10.1214/08-AOAS167>. The package also provides the computing of constrained least-squares estimates when a subset of or all of the regression coefficients are constrained to be non-negative.

r-mldr 0.4.3
Propagated dependencies: r-xml@3.99-0.20 r-shiny@1.11.1 r-circlize@0.4.16
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/fcharte/mldr
Licenses: LGPL 3+ FSDG-compatible
Build system: r
Synopsis: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
Description:

Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.

r-marqlevalg 2.0.8
Propagated dependencies: 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=marqLevAlg
Licenses: GPL 2+
Build system: r
Synopsis: Parallelized General-Purpose Optimization Based on Marquardt-Levenberg Algorithm
Description:

This algorithm provides a numerical solution to the problem of unconstrained local minimization (or maximization). It is particularly suited for complex problems and more efficient than the Gauss-Newton-like algorithm when starting from points very far from the final minimum (or maximum). Each iteration is parallelized and convergence relies on a stringent stopping criterion based on the first and second derivatives. See Philipps et al, 2021 <doi:10.32614/RJ-2021-089>.

r-mirkat 1.2.3
Propagated dependencies: r-survival@3.8-3 r-quantreg@6.1 r-permute@0.9-8 r-pearsonds@1.3.2 r-mixtools@2.0.0.1 r-matrix@1.7-4 r-mass@7.3-65 r-lme4@1.1-37 r-gunifrac@1.9 r-compquadform@1.4.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MiRKAT
Licenses: GPL 2+
Build system: r
Synopsis: Microbiome Regression-Based Kernel Association Tests
Description:

Test for overall association between microbiome composition data and phenotypes via phylogenetic kernels. The phenotype can be univariate continuous or binary (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>), survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>), multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and structured phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>). The package can also use robust regression (unpublished work) and integrated quantile regression (Wang et al. (2021) <doi:10.1093/bioinformatics/btab668>). In each case, the microbiome community effect is modeled nonparametrically through a kernel function, which can incorporate phylogenetic tree information.

r-mcunit 0.3.2
Propagated dependencies: r-testthat@3.3.0 r-simctest@2.6.1 r-rlang@1.1.6 r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://bitbucket.org/agandy/mcunit/
Licenses: GPL 3
Build system: r
Synopsis: Unit Tests for MC Methods
Description:

Unit testing for Monte Carlo methods, particularly Markov Chain Monte Carlo (MCMC) methods, are implemented as extensions of the testthat package. The MCMC methods check whether the MCMC chain has the correct invariant distribution. They do not check other properties of successful samplers such as whether the chain can reach all points, i.e. whether is recurrent. The tests require the ability to sample from the prior and to run steps of the MCMC chain. The methodology is described in Gandy and Scott (2020) <arXiv:2001.06465>.

r-mapgam 1.3-1
Propagated dependencies: r-survival@3.8-3 r-sp@2.2-0 r-sf@1.0-23 r-pbsmapping@2.74.1 r-gam@1.22-6 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MapGAM
Licenses: GPL 3
Build system: r
Synopsis: Mapping Smoothed Effect Estimates from Individual-Level Data
Description:

This package contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (2020). Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).

r-mvquad 1.0-8
Propagated dependencies: r-statmod@1.5.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/weiserc/mvQuad/
Licenses: GPL 3
Build system: r
Synopsis: Methods for Multivariate Quadrature
Description:

This package provides methods to construct multivariate grids, which can be used for multivariate quadrature. This grids can be based on different quadrature rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction of the multidimensional grid the product-rule or the combination- technique can be applied.

r-mbreaks 1.0.1
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/RoDivinity/mbreaks
Licenses: Expat
Build system: r
Synopsis: Estimation and Inference for Structural Breaks in Linear Regression Models
Description:

This package provides functions provide comprehensive treatments for estimating, inferring, testing and model selecting in linear regression models with structural breaks. The tests, estimation methods, inference and information criteria implemented are discussed in Bai and Perron (1998) "Estimating and Testing Linear Models with Multiple Structural Changes" <doi:10.2307/2998540>.

r-mvgps 1.2.2
Propagated dependencies: r-weightit@1.5.1 r-sp@2.2-0 r-rdpack@2.6.4 r-matrixnormal@0.1.1 r-mass@7.3-65 r-geometry@0.5.2 r-gbm@2.2.2 r-cobalt@4.6.2 r-cbps@0.24
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/williazo/mvGPS
Licenses: Expat
Build system: r
Synopsis: Causal Inference using Multivariate Generalized Propensity Score
Description:

This package provides methods for estimating and utilizing the multivariate generalized propensity score (mvGPS) for multiple continuous exposures described in Williams, J.R, and Crespi, C.M. (2020) <arxiv:2008.13767>. The methods allow estimation of a dose-response surface relating the joint distribution of multiple continuous exposure variables to an outcome. Weights are constructed assuming a multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. Confounders can be different for different exposure variables. The weights are designed to achieve balance across all exposure dimensions and can be used to estimate dose-response surfaces.

r-mapindia 1.0.1
Propagated dependencies: r-vdiffr@1.0.8 r-sf@1.0-23 r-rlang@1.1.6 r-mapindiatools@1.0.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/shubhamdutta26/mapindia
Licenses: Expat
Build system: r
Synopsis: Plot Map of the Indian Subcontinent
Description:

Get map data frames for the Indian subcontinent with different region levels (e.g., district, state). The package also offers convenience functions for plotting choropleths, visualizing spatial data, and handling state/district codes.

r-multifamm 0.1.1
Propagated dependencies: r-zoo@1.8-14 r-sparseflmm@0.4.2 r-mgcv@1.9-4 r-mfpca@1.3-11 r-fundata@1.3-9 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multifamm
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Functional Additive Mixed Models
Description:

An implementation for multivariate functional additive mixed models (multiFAMM), see Volkmann et al. (2021, <arXiv:2103.06606>). It builds on developed methods for univariate sparse functional regression models and multivariate functional principal component analysis. This package contains the function to run a multiFAMM and some convenience functions useful when working with large models. An additional package on GitHub contains more convenience functions to reproduce the analyses of the corresponding paper (<https://github.com/alexvolkmann/multifammPaper>).

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-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-micsim 3.0.0
Propagated dependencies: r-snowfall@1.84-6.3 r-rlecuyer@0.3-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MicSim
Licenses: GPL 2+
Build system: r
Synopsis: Performing Continuous-Time Microsimulation
Description:

This toolkit allows performing continuous-time microsimulation for a wide range of life science (demography, social sciences, epidemiology) applications. Individual life-courses are specified by a continuous-time multi-state model as described in Zinn (2014) <doi:10.34196/IJM.00105>.

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Total results: 68655