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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-mrc 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/k-dettloff/mRc
Licenses: Expat
Build system: r
Synopsis: Multi-Visit Closed Population Mark-Recapture Estimates
Description:

Compute bootstrap confidence intervals for the adjusted Schnabel and Schumacher-Eschmeyer multi-visit mark-recapture estimators based on Dettloff (2023) <doi:10.1016/j.fishres.2023.106756>.

r-multilinguer 0.2.4
Propagated dependencies: r-usethis@3.2.1 r-sys@3.4.3 r-rappdirs@0.3.3 r-askpass@1.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mrchypark/multilinguer
Licenses: Expat
Build system: r
Synopsis: Gentle Language Installer for R User
Description:

This package provides install functions of other languages such as java', python'.

r-metricminer 1.0.1
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-rprojroot@2.1.1 r-purrr@1.2.0 r-openssl@2.3.4 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-httr@1.4.7 r-googlesheets4@1.1.2 r-googledrive@2.1.2 r-gh@1.5.0 r-getpass@0.2-4 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/ottrproject/metricminer
Licenses: GPL 3
Build system: r
Synopsis: Mine Metrics from Common Places on the Web
Description:

Mine metrics on common places on the web through the power of their APIs (application programming interfaces). It also helps make the data in a format that is easily used for a dashboard or other purposes. There is an associated dashboard template and tutorials that are underdevelopment that help you fully utilize metricminer'.

r-multiselect 0.1.0
Propagated dependencies: r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiselect
Licenses: GPL 2
Build system: r
Synopsis: Selecting Combinations of Predictors by Leveraging Multiple AUCs for an Ordered Multilevel Outcome
Description:

Uses multiple AUCs to select a combination of predictors when the outcome has multiple (ordered) levels and the focus is discriminating one particular level from the others. This method is most naturally applied to settings where the outcome has three levels. (Meisner, A, Parikh, CR, and Kerr, KF (2017) <http://biostats.bepress.com/uwbiostat/paper423/>.).

r-miscmetabar 0.14.4
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-phyloseq@1.54.0 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dada2@1.38.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/adrientaudiere/MiscMetabar
Licenses: AGPL 3
Build system: r
Synopsis: Miscellaneous Functions for Metabarcoding Analysis
Description:

Facilitate the description, transformation, exploration, and reproducibility of metabarcoding analyses. MiscMetabar is mainly built on top of the phyloseq', dada2 and targets R packages. It helps to build reproducible and robust bioinformatics pipelines in R. MiscMetabar makes ecological analysis of alpha and beta-diversity easier, more reproducible and more powerful by integrating a large number of tools. Important features are described in Taudière A. (2023) <doi:10.21105/joss.06038>.

r-mlr3torch 0.3.3
Propagated dependencies: r-withr@3.0.2 r-torch@0.16.3 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-cli@3.6.5 r-checkmate@2.3.3 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlr3torch.mlr-org.com/
Licenses: LGPL 3+
Build system: r
Synopsis: Deep Learning with 'mlr3'
Description:

Deep Learning library that extends the mlr3 framework by building upon the torch package. It allows to conveniently build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in mlr3pipelines'.

r-mldr-datasets 0.4.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/fcharte/mldr.datasets
Licenses: LGPL 3+ FSDG-compatible
Build system: r
Synopsis: R Ultimate Multilabel Dataset Repository
Description:

Large collection of multilabel datasets along with the functions needed to export them to several formats, to make partitions, and to obtain bibliographic information.

r-micer 0.2.1
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/maxwell-geospatial/micer
Licenses: GPL 3+
Build system: r
Synopsis: Map Image Classification Efficacy
Description:

Map image classification efficacy (MICE) adjusts the accuracy rate relative to a random classification baseline (Shao et al. (2021)<doi:10.1109/ACCESS.2021.3116526> and Tang et al. (2024)<doi:10.1109/TGRS.2024.3446950>). Only the proportions from the reference labels are considered, as opposed to the proportions from the reference and predictions, as is the case for the Kappa statistic. This package offers means to calculate MICE and adjusted versions of class-level user's accuracy (i.e., precision) and producer's accuracy (i.e., recall) and F1-scores. Class-level metrics are aggregated using macro-averaging. Functions are also made available to estimate confidence intervals using bootstrapping and statistically compare two classification results.

r-multilevelmediation 0.4.1
Propagated dependencies: r-tidyr@1.3.1 r-posterior@1.6.1 r-parallelly@1.45.1 r-nlme@3.1-168 r-mcmcpack@1.7-1 r-matrixcalc@1.0-6 r-glmmtmb@1.1.13 r-future@1.68.0 r-furrr@0.3.1 r-brms@2.23.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multilevelmediation
Licenses: GPL 3
Build system: r
Synopsis: Utility Functions for Multilevel Mediation Analysis
Description:

The ultimate goal is to support 2-2-1, 2-1-1, and 1-1-1 models for multilevel mediation, the option of a moderating variable for either the a, b, or both paths, and covariates. Currently the 1-1-1 model is supported and several options of random effects; the initial code for bootstrapping was evaluated in simulations by Falk, Vogel, Hammami, and MioÄ eviÄ (2024) <doi:10.3758/s13428-023-02079-4>. Support for Bayesian estimation using brms comprises ongoing work. Currently only continuous mediators and outcomes are supported. Factors for any predictors must be numerically represented.

r-mlvar 0.5.5
Propagated dependencies: r-rlang@1.1.6 r-qgraph@1.9.8 r-mvtnorm@1.3-3 r-mplusautomation@1.2 r-lme4@1.1-37 r-graphicalvar@0.3.4 r-dplyr@1.1.4 r-corpcor@1.6.10 r-clustergeneration@1.3.8 r-arm@1.14-4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mlVAR
Licenses: GPL 2
Build system: r
Synopsis: Multi-Level Vector Autoregression
Description:

Estimates the multi-level vector autoregression model on time-series data. Three network structures are obtained: temporal networks, contemporaneous networks and between-subjects networks.

r-mrmre 2.1.2.2
Propagated dependencies: r-survival@3.8-3 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://www.pmgenomics.ca/bhklab/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Parallelized Minimum Redundancy, Maximum Relevance (mRMR)
Description:

Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique. Published in De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.

r-matrixcut 0.0.1
Propagated dependencies: r-inflection@1.3.7 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=matrixcut
Licenses: GPL 3+
Build system: r
Synopsis: Determines Clustering Threshold Based on Similarity Values
Description:

The user must supply a matrix filled with similarity values. The software will search for significant differences between similarity values at different hierarchical levels. The algorithm will return a Loess-smoothed plot of the similarity values along with the inflection point, if there are any. There is the option to search for an inflection point within a specified range. The package also has a function that will return the matrix components at a specified cutoff. References: Mullner. <ArXiv:1109.2378>; Cserhati, Carter. (2020, Journal of Creation 34(3):41-50), <https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf>.

r-mpn 0.4.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://pub-connect.foodsafetyrisk.org/microbial/mpncalc/
Licenses: FSDG-compatible
Build system: r
Synopsis: Most Probable Number and Other Microbial Enumeration Techniques
Description:

Calculates the Most Probable Number (MPN) to quantify the concentration (density) of microbes in serial dilutions of a laboratory sample (described in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>). Also calculates the Aerobic Plate Count (APC) for similar microbial enumeration experiments.

r-mefm 0.1.1
Propagated dependencies: r-tensormiss@1.1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MEFM
Licenses: GPL 3
Build system: r
Synopsis: Perform MEFM Estimation on Matrix Time Series
Description:

To perform main effect matrix factor model (MEFM) estimation for a given matrix time series as described in Lam and Cen (2024) <doi:10.48550/arXiv.2406.00128>. Estimation of traditional matrix factor models is also supported. Supplementary functions for testing MEFM over factor models are included.

r-mplusparallel-automation 0.0.1.1
Propagated dependencies: r-mplusautomation@1.2 r-future@1.68.0 r-furrr@0.3.1 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=mplusParallel.automation
Licenses: GPL 3
Build system: r
Synopsis: Parallel Processing Automation for 'Mplus'
Description:

Offers automation tools to parallelize Mplus operations when using R for data generation. It facilitates streamlined integration between Mplus and R', allowing users to run and manage multiple Mplus models simultaneously and efficiently in R'.

r-mandalar 0.1.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://lucianealcoforado.shinyapps.io/Mandala/
Licenses: GPL 3
Build system: r
Synopsis: Building Mandalas from Parametric Equations of Classical Curves
Description:

This package provides an algorithm for creating mandalas. From the perspective of classic mathematical curves and rigid movements on the plane, the package allows you to select curves and produce mandalas from the curve. The algorithm was developed based on the book by Alcoforado et. al. entitled "Art, Geometry and Mandalas with R" (2022) in press by the USP Open Books Portal.

r-mofat 1.0
Propagated dependencies: r-slhd@2.1-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MOFAT
Licenses: GPL 2+
Build system: r
Synopsis: Maximum One-Factor-at-a-Time Designs
Description:

Identifying important factors from a large number of potentially important factors of a highly nonlinear and computationally expensive black box model is a difficult problem. Xiao, Joseph, and Ray (2022) <doi:10.1080/00401706.2022.2141897> proposed Maximum One-Factor-at-a-Time (MOFAT) designs for doing this. A MOFAT design can be viewed as an improvement to the random one-factor-at-a-time (OFAT) design proposed by Morris (1991) <doi:10.1080/00401706.1991.10484804>. The improvement is achieved by exploiting the connection between Morris screening designs and Monte Carlo-based Sobol designs, and optimizing the design using a space-filling criterion. This work is supported by a U.S. National Science Foundation (NSF) grant CMMI-1921646 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921646>.

r-makl 1.0.1
Propagated dependencies: r-grplasso@0.4-7 r-auc@0.3.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MAKL
Licenses: GPL 3+
Build system: r
Synopsis: Multiple Approximate Kernel Learning (MAKL)
Description:

R package associated with the Multiple Approximate Kernel Learning (MAKL) algorithm proposed in <doi:10.1093/bioinformatics/btac241>. The algorithm fits multiple approximate kernel learning (MAKL) models that are fast, scalable and interpretable.

r-mte 1.2.1
Propagated dependencies: r-rqpen@4.2 r-quantreg@6.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/shaobo-li/MTE
Licenses: GPL 3
Build system: r
Synopsis: Maximum Tangent Likelihood Estimation for Robust Linear Regression and Variable Selection
Description:

Several robust estimators for linear regression and variable selection are provided. Included are Maximum tangent likelihood estimator by Qin, et al., (2017), arXiv preprint <doi:10.48550/arXiv.1708.05439>, least absolute deviance estimator and Huber regression. The penalized version of each of these estimator incorporates L1 penalty function, i.e., LASSO and Adaptive Lasso. They are able to produce consistent estimates for both fixed and high-dimensional settings.

r-multiblock 0.8.10
Propagated dependencies: r-ssbtools@1.8.6 r-rspectra@0.16-2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-progress@1.2.3 r-pracma@2.4.6 r-plsvarsel@0.9.13 r-pls@2.8-5 r-plotrix@3.8-13 r-mixlm@1.4.3 r-mass@7.3-65 r-hdanova@0.8.4 r-car@3.1-3 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://khliland.github.io/multiblock/
Licenses: GPL 2+
Build system: r
Synopsis: Multiblock Data Fusion in Statistics and Machine Learning
Description:

This package provides functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.

r-mets 1.3.9
Propagated dependencies: r-timereg@2.0.7 r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-lava@1.8.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://kkholst.github.io/mets/
Licenses: ASL 2.0
Build system: r
Synopsis: Analysis of Multivariate Event Times
Description:

Implementation of various statistical models for multivariate event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>. Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray, Ghosh-Lin, Binomial regression) with fast computation of influence functions.

r-mandelbrot 0.2.0
Propagated dependencies: r-reshape2@1.4.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mandelbrot
Licenses: Expat
Build system: r
Synopsis: Generates Views on the Mandelbrot Set
Description:

Estimates membership for the Mandelbrot set.

r-mvnpermute 1.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/markabney/MVNpermute
Licenses: GPL 3+
Build system: r
Synopsis: Generate New Multivariate Normal Samples from Permutations
Description:

Given a vector of multivariate normal data, a matrix of covariates and the data covariance matrix, generate new multivariate normal samples that have the same covariance matrix based on permutations of the transformed data residuals.

r-marssvrhybrid 0.1.0
Propagated dependencies: r-earth@5.3.4 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MARSSVRhybrid
Licenses: GPL 3
Build system: r
Synopsis: MARS SVR Hybrid
Description:

Multivariate Adaptive Regression Spline (MARS) based Support Vector Regression (SVR) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits SVR on the extracted important variables.

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