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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-mcartest 1.3
Propagated dependencies: r-rdpack@2.6.4 r-rcsdp@0.1.57.6 r-rcpp@1.1.0 r-rcdd@1.6 r-pracma@2.4.6 r-norm@1.0-11.1 r-missmethods@0.4.0 r-matrix@1.7-4 r-mass@7.3-65 r-lpsolve@5.6.23 r-highs@1.12.0-1 r-gtools@3.9.5 r-epi@2.61 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=MCARtest
Licenses: Expat
Build system: r
Synopsis: Optimal Nonparametric Testing of Missing Completely at Random
Description:

This package provides functions for carrying out nonparametric hypothesis tests of the MCAR hypothesis based on the theory of Frechet classes and compatibility. Also gives functions for computing halfspace representations of the marginal polytope and related geometric objects.

r-movieroc 0.1.2
Propagated dependencies: r-zoo@1.8-14 r-rsolnp@2.0.1 r-robustbase@0.99-6 r-rms@8.1-0 r-ks@1.15.1 r-intrval@1.0-0 r-gtools@3.9.5 r-e1071@1.7-16 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=movieROC
Licenses: GPL 3
Build system: r
Synopsis: Visualizing the Decision Rules Underlying Binary Classification
Description:

Visualization of decision rules for binary classification and Receiver Operating Characteristic (ROC) curve estimation under different generalizations proposed in the literature: - making the classification subsets flexible to cover those scenarios where both extremes of the marker are associated with a higher risk of being positive, considering two thresholds (gROC() function); - transforming the marker by a proper function trying to improve the classification performance (hROC() function); - when dealing with multivariate markers, considering a proper transformation to univariate space trying to maximize the resulting AUC of the TPR for each FPR (multiROC() function). The classification regions behind each point of the ROC curve are displayed in both static graphics (plot_buildROC(), plot_regions() or plot_funregions() function) or videos (movieROC() function).

r-mlrcpo 0.3.8
Propagated dependencies: r-stringi@1.8.7 r-paramhelpers@1.14.2 r-mlr@2.19.3 r-checkmate@2.3.3 r-bbmisc@1.13 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mlr-org/mlrCPO
Licenses: FreeBSD
Build system: r
Synopsis: Composable Preprocessing Operators and Pipelines for Machine Learning
Description:

Toolset that enriches mlr with a diverse set of preprocessing operators. Composable Preprocessing Operators ("CPO"s) are first-class R objects that can be applied to data.frames and mlr "Task"s to modify data, can be attached to mlr "Learner"s to add preprocessing to machine learning algorithms, and can be composed to form preprocessing pipelines.

r-mocca 1.4
Propagated dependencies: r-cluster@2.1.8.1 r-clue@0.3-66 r-class@7.3-23 r-cclust@0.6-27
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MOCCA
Licenses: FSDG-compatible
Build system: r
Synopsis: Multi-Objective Optimization for Collecting Cluster Alternatives
Description:

This package provides methods to analyze cluster alternatives based on multi-objective optimization of cluster validation indices. For details see Kraus et al. (2011) <doi:10.1007/s00180-011-0244-6>.

r-minedfind 0.1.3
Propagated dependencies: r-iso@0.0-21 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MinEDfind
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Design for Minimum Effective Dosing-Finding Trial
Description:

The nonparametric two-stage Bayesian adaptive design is a novel phase II clinical trial design for finding the minimum effective dose (MinED). This design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. It is used to design single-agent trials.

r-mbmixture 0.6
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/kbroman/mbmixture
Licenses: Expat
Build system: r
Synopsis: Microbiome Mixture Analysis
Description:

Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number of read counts as a function of single nucleotide polymorphism (SNP) allele and the genotypes of two potential source samples. Lobo et al. (2021) <doi:10.1093/g3journal/jkab308>.

r-makicoint 1.0.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/merwanroudane/makicoint
Licenses: GPL 3
Build system: r
Synopsis: Maki Cointegration Test with Structural Breaks
Description:

This package implements the Maki (2012) <doi:10.1016/j.econmod.2012.05.006> cointegration test that allows for an unknown number of structural breaks. The test detects cointegration relationships in the presence of up to five structural breaks in the intercept and/or slope coefficients. Four different model specifications are supported: level shifts, level shifts with trend, regime shifts, and trend with regime shifts. The method is described in Maki (2012) "Tests for cointegration allowing for an unknown number of breaks" <doi:10.1016/j.econmod.2012.05.006>.

r-mpmi 0.43.2.1
Propagated dependencies: r-kernsmooth@2.23-26
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://r-forge.r-project.org/projects/mpmi/
Licenses: GPL 3
Build system: r
Synopsis: Mixed-Pair Mutual Information Estimators
Description:

Uses a kernel smoothing approach to calculate Mutual Information for comparisons between all types of variables including continuous vs continuous, continuous vs discrete and discrete vs discrete. Uses a nonparametric bias correction giving Bias Corrected Mutual Information (BCMI). Implemented efficiently in Fortran 95 with OpenMP and suited to large genomic datasets.

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-mkmisc 1.9
Propagated dependencies: r-scales@1.4.0 r-robustbase@0.99-6 r-rcolorbrewer@1.1-3 r-limma@3.66.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/stamats/MKmisc
Licenses: LGPL 3
Build system: r
Synopsis: Miscellaneous Functions from M. Kohl
Description:

This package contains several functions for statistical data analysis; e.g. for sample size and power calculations, computation of confidence intervals and tests, and generation of similarity matrices.

r-mm4lmm 3.0.3
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-matrix@1.7-4 r-mass@7.3-65 r-dplyr@1.1.4 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MM4LMM
Licenses: GPL 2+
Build system: r
Synopsis: Inference of Linear Mixed Models Through MM Algorithm
Description:

The main function MMEst() performs (Restricted) Maximum Likelihood in a variance component mixed models using a Min-Max (MM) algorithm (Laporte, F., Charcosset, A. & Mary-Huard, T. (2022) <doi:10.1371/journal.pcbi.1009659>).

r-mscstexta4r 0.1.2
Propagated dependencies: r-stringi@1.8.7 r-pander@0.6.6 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/philferriere/mscstexta4r
Licenses: Expat
Build system: r
Synopsis: R Client for the Microsoft Cognitive Services Text Analytics REST API
Description:

R Client for the Microsoft Cognitive Services Text Analytics REST API, including Sentiment Analysis, Topic Detection, Language Detection, and Key Phrase Extraction. An account MUST be registered at the Microsoft Cognitive Services website <https://www.microsoft.com/cognitive-services/> in order to obtain a (free) API key. Without an API key, this package will not work properly.

r-momentuhmm 1.5.8
Propagated dependencies: r-sp@2.2-0 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-raster@3.6-32 r-numderiv@2016.8-1.1 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 r-crawl@2.3.1 r-circstats@0.2-7 r-brobdingnag@1.2-9
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/bmcclintock/momentuHMM
Licenses: GPL 3
Build system: r
Synopsis: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
Description:

Extended tools for analyzing telemetry data using generalized hidden Markov models. Features of momentuHMM (pronounced ``momentum'') include data pre-processing and visualization, fitting HMMs to location and auxiliary biotelemetry or environmental data, biased and correlated random walk movement models, hierarchical HMMs, multiple imputation for incorporating location measurement error and missing data, user-specified design matrices and constraints for covariate modelling of parameters, random effects, decoding of the state process, visualization of fitted models, model checking and selection, and simulation. See McClintock and Michelot (2018) <doi:10.1111/2041-210X.12995>.

r-mycaas 0.0.1
Propagated dependencies: r-shiny@1.11.1 r-rpref@1.5.0 r-rlang@1.1.6 r-igraph@2.2.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mycaas
Licenses: Expat
Build system: r
Synopsis: My Computerized Adaptive Assessment
Description:

Implementation of adaptive assessment procedures based on Knowledge Space Theory (KST, Doignon & Falmagne, 1999 <ISBN:9783540645016>) and Formal Psychological Assessment (FPA, Spoto, Stefanutti & Vidotto, 2010 <doi:10.3758/BRM.42.1.342>) frameworks. An adaptive assessment is a type of evaluation that adjusts the difficulty and nature of subsequent questions based on the test taker's responses to previous ones. The package contains functions to perform and simulate an adaptive assessment. Moreover, it is integrated with two Shiny interfaces, making it both accessible and user-friendly. The package has been partially funded by the European Union - NextGenerationEU and by the Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), Mission 4, Component 2, Investment 1.5, project â RAISE - Robotics and AI for Socio-economic Empowermentâ (ECS00000035).

r-mpath 0.4-2.26
Propagated dependencies: r-weightsvm@1.7-16 r-pscl@1.5.9 r-numderiv@2016.8-1.1 r-mass@7.3-65 r-glmnet@4.1-10 r-foreach@1.5.2 r-doparallel@1.0.17 r-bst@0.3-24
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/zhuwang46/mpath
Licenses: GPL 2
Build system: r
Synopsis: Regularized Linear Models
Description:

Algorithms compute robust estimators for loss functions in the concave convex (CC) family by the iteratively reweighted convex optimization (IRCO), an extension of the iteratively reweighted least squares (IRLS). The IRCO reduces the weight of the observation that leads to a large loss; it also provides weights to help identify outliers. Applications include robust (penalized) generalized linear models and robust support vector machines. The package also contains penalized Poisson, negative binomial, zero-inflated Poisson, zero-inflated negative binomial regression models and robust models with non-convex loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>, Wang et al. (2015) <doi:10.1002/bimj.201400143>, Wang et al. (2016) <doi:10.1177/0962280214530608>, Wang (2021) <doi:10.1007/s11749-021-00770-2>, Wang (2024) <doi:10.1111/anzs.12409>.

r-mctrend 1.0.1
Propagated dependencies: r-trend@1.1.6 r-reshape2@1.4.5 r-magrittr@2.0.4 r-lmomco@2.5.3 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://cran.r-project.org/package=MCTrend
Licenses: GPL 3
Build system: r
Synopsis: Monte Carlo Trend Analysis
Description:

Application of a test to rule out that trends detected in hydrological time series are explained exclusively by the randomness of the climate. Based on: Ricchetti, (2018) <https://repositorio.uchile.cl/handle/2250/168487>.

r-mumarinex 1.0
Propagated dependencies: r-vegan@2.7-2 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mumarinex
Licenses: GPL 3
Build system: r
Synopsis: Computation of the Multivariate Marine Recovery Index
Description:

Computation of the multivariate marine recovery index, including functions for data visualization and ecological diagnostics of marine ecosystems. The computational details are described in the original publication. Reference: Chauvel, N., Grall, J., Thiébaut, E., Houbin, C., Pezy, J.P. (in press). "A general-purpose Multivariate Marine Recovery Index for quantifying the influence of human activities on benthic habitat ecological status". Ecological Indicators.

r-minirand 0.1.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=Minirand
Licenses: GPL 2+
Build system: r
Synopsis: Minimization Randomization
Description:

Randomization schedules are generated in the schemes with k (k>=2) treatment groups and any allocation ratios by minimization algorithms.

r-mvna 2.0.1
Propagated dependencies: 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=mvna
Licenses: Expat
Build system: r
Synopsis: Nelson-Aalen Estimator of the Cumulative Hazard in Multistate Models
Description:

Computes the Nelson-Aalen estimator of the cumulative transition hazard for arbitrary Markov multistate models <ISBN:978-0-387-68560-1>.

r-mclink 1.1.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/LiuyangLee/mclink
Licenses: GPL 3
Build system: r
Synopsis: Metabolic Pathway Completeness and Abundance Calculation
Description:

This package provides tools for analyzing metabolic pathway completeness, abundance, and transcripts using KEGG Orthology (KO) data from (meta)genomic and (meta)transcriptomic studies. Supports both completeness (presence/absence) and abundance-weighted analyses. Includes built-in KEGG reference datasets. For more details see Li et al. (2023) <doi:10.1038/s41467-023-42193-7>.

r-mltest 1.0.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mltest
Licenses: GPL 2
Build system: r
Synopsis: Classification Evaluation Metrics
Description:

This package provides a fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.

r-metabodecon 1.6.2
Propagated dependencies: r-withr@3.0.2 r-toscutil@2.8.0 r-speaq@2.7.0 r-readjdx@0.6.4 r-mathjaxr@1.8-0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/spang-lab/metabodecon/
Licenses: GPL 3+
Build system: r
Synopsis: Deconvolution and Alignment of 1d NMR Spectra
Description:

This package provides a framework for deconvolution, alignment and postprocessing of 1-dimensional (1d) nuclear magnetic resonance (NMR) spectra, resulting in a data matrix of aligned signal integrals. The deconvolution part uses the algorithm described in Koh et al. (2009) <doi:10.1016/j.jmr.2009.09.003>. The alignment part is based on functions from the speaq package, described in Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018> and Vu et al. (2011) <doi:10.1186/1471-2105-12-405>. A detailed description and evaluation of an early version of the package, MetaboDecon1D v0.2.2', can be found in Haeckl et al. (2021) <doi:10.3390/metabo11070452>.

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-marginme 0.1.0
Propagated dependencies: r-glmmrbase@1.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/samuel-watson/marginme
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of Relative Risks, Risk Differences, and Marginal Effects from Mixed Models Using Marginal Standardization
Description:

Functionality to estimate relative risks, risk differences, and partial effects from mixed model. Marginalisation over random effect terms is accomplished using Markov Chain Monte Carlo.

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