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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-mdpiexplorer 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-scales@1.4.0 r-rvest@1.0.5 r-magrittr@2.0.4 r-lubridate@1.9.4 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/pgomba/MDPI_exploreR
Licenses: FSDG-compatible
Build system: r
Synopsis: Web Scraping and Bibliometric Analysis of MDPI Journals
Description:

This package provides comprehensive tools to scrape and analyze data from the MDPI journals. It allows users to extract metrics such as submission-to-acceptance times, article types, and whether articles are part of special issues. The package can also visualize this information through plots. Additionally, MDPIexploreR offers tools to explore patterns of self-citations within articles and provides insights into guest-edited special issues.

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-mlmhelpr 0.1.1
Propagated dependencies: r-rdpack@2.6.4 r-mathjaxr@1.8-0 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/lrocconi/mlmhelpr
Licenses: Expat
Build system: r
Synopsis: Multilevel/Mixed Model Helper Functions
Description:

This package provides a collection of miscellaneous helper function for running multilevel/mixed models in lme4'. This package aims to provide functions to compute common tasks when estimating multilevel models such as computing the intraclass correlation and design effect, centering variables, estimating the proportion of variance explained at each level, pseudo-R squared, random intercept and slope reliabilities, tests for homogeneity of variance at level-1, and cluster robust and bootstrap standard errors. The tests and statistics reported in the package are from Raudenbush & Bryk (2002, ISBN:9780761919049), Hox et al. (2018, ISBN:9781138121362), and Snijders & Bosker (2012, ISBN:9781849202015).

r-muitreeview 0.1.1
Propagated dependencies: r-shiny-react@0.4.0 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://felixluginbuhl.com/muiTreeView/
Licenses: Expat
Build system: r
Synopsis: 'MUI X Tree View' for 'shiny' Apps and 'Quarto'
Description:

Give access to MUI X Tree View components, which lets users navigate hierarchical lists of data with nested levels that can be expanded and collapsed.

r-mod 0.1.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/iqis/mod
Licenses: GPL 3
Build system: r
Synopsis: Lightweight and Self-Contained Modules for Code Organization
Description:

This package creates modules inline or from a file. Modules can contain any R object and be nested. Each module have their own scope and package "search path" that does not interfere with one another or the user's working environment.

r-meta4diag 2.1.1
Propagated dependencies: r-sp@2.2-0 r-shinybs@0.61.1 r-shiny@1.11.1 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=meta4diag
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Meta-Analysis for Diagnostic Test Studies
Description:

Bayesian inference analysis for bivariate meta-analysis of diagnostic test studies using integrated nested Laplace approximation with INLA. A purpose built graphic user interface is available. The installation of R package INLA is compulsory for successful usage. The INLA package can be obtained from <https://www.r-inla.org>. We recommend the testing version, which can be downloaded by running: install.packages("INLA", repos=c(getOption("repos"), INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).

r-mlfit 0.5.3
Propagated dependencies: r-wrswor@1.2.0 r-tibble@3.3.0 r-rlang@1.1.6 r-plyr@1.8.9 r-matrix@1.7-4 r-lifecycle@1.0.4 r-kimisc@1.0.1 r-hms@1.1.4 r-forcats@1.0.1 r-dplyr@1.1.4 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlfit.github.io/mlfit/
Licenses: GPL 3+
Build system: r
Synopsis: Iterative Proportional Fitting Algorithms for Nested Structures
Description:

The Iterative Proportional Fitting (IPF) algorithm operates on count data. This package offers implementations for several algorithms that extend this to nested structures: parent and child items for both of which constraints can be provided. The fitting algorithms include Iterative Proportional Updating <https://trid.trb.org/view/881554>, Hierarchical IPF <doi:10.3929/ethz-a-006620748>, Entropy Optimization <https://trid.trb.org/view/881144>, and Generalized Raking <doi:10.2307/2290793>. Additionally, a number of replication methods is also provided such as Truncate, replicate, sample <doi:10.1016/j.compenvurbsys.2013.03.004>.

r-mm 1.6-8
Propagated dependencies: r-quadform@0.0-4 r-partitions@1.10-9 r-oarray@1.4-9 r-mathjaxr@1.8-0 r-magic@1.6-1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/RobinHankin/MM
Licenses: GPL 2
Build system: r
Synopsis: The Multiplicative Multinomial Distribution
Description:

Various utilities for the Multiplicative Multinomial distribution.

r-metsizer 2.0.0
Propagated dependencies: r-vroom@1.6.6 r-shinythemes@1.2.0 r-shiny@1.11.1 r-rfast@2.1.5.2 r-metabolanalyze@1.3.1 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=MetSizeR
Licenses: GPL 3+
Build system: r
Synopsis: Shiny App for Sample Size Estimation in Metabolomic Experiments
Description:

This package provides a Shiny application to estimate the sample size required for a metabolomic experiment to achieve a desired statistical power. Estimation is possible with or without available data from a pilot study.

r-murl 0.1-13
Propagated dependencies: r-stringr@1.6.0 r-maps@3.4.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://www.ryantmoore.org/software.murl.html
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Mailmerge using R, LaTeX, and the Web
Description:

This package provides mailmerge methods for reading spreadsheets of addresses and other relevant information to create standardized but customizable letters. Provides a method for mapping US ZIP codes, including those of letter recipients. Provides a method for parsing and processing html code from online job postings of the American Political Science Association.

r-multibreaker 0.1.0
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-reshape2@1.4.5 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/loicym/multibreakeR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Tests for a Structural Change in Multivariate Time Series
Description:

Flexible implementation of a structural change point detection algorithm for multivariate time series. It authorizes inclusion of trends, exogenous variables, and break test on the intercept or on the full vector autoregression system. Bai, Lumsdaine, and Stock (1998) <doi:10.1111/1467-937X.00051>.

r-mmpca 2.0.4
Propagated dependencies: r-rcppgsl@0.3.13 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/cyianor/mmpca
Licenses: GPL 3+
Build system: r
Synopsis: Integrative Analysis of Several Related Data Matrices
Description:

This package provides a generalization of principal component analysis for integrative analysis. The method finds principal components that describe single matrices or that are common to several matrices. The solutions are sparse. Rank of solutions is automatically selected using cross validation. The method is described in Kallus et al. (2019) <doi:10.48550/arXiv.1911.04927>.

r-msamp 1.0.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=msamp
Licenses: FSDG-compatible
Build system: r
Synopsis: Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Description:

Estimates the sample size needed to detect microbial contamination in a lot with a user-specified detection probability and user-specified analytical sensitivity. Various patterns of microbial contamination are accounted for: homogeneous (Poisson), heterogeneous (Poisson-Gamma) or localized(Zero-inflated Poisson). Ida Jongenburger et al. (2010) <doi:10.1016/j.foodcont.2012.02.004> "Impact of microbial distributions on food safety". Leroy Simon (1963) <doi:10.1017/S0515036100001975> "Casualty Actuarial Society - The Negative Binomial and Poisson Distributions Compared".

r-multius 1.2.3
Propagated dependencies: r-mass@7.3-65 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiUS
Licenses: GPL 2+
Build system: r
Synopsis: Functions for the Courses Multivariate Analysis and Computer Intensive Methods
Description:

This package provides utility functions for multivariate analysis (factor analysis, discriminant analysis, and others). The package is primary written for the course Multivariate analysis and for the course Computer intensive methods at the masters program of Applied Statistics at University of Ljubljana.

r-multifanova 0.1.0
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-gfdmcv@0.1.0 r-foreach@1.5.2 r-fda@6.3.0 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=multiFANOVA
Licenses: LGPL 2.0 LGPL 3 GPL 2 GPL 3
Build system: r
Synopsis: Multiple Contrast Tests for Functional Data
Description:

The provided package implements multiple contrast tests for functional data (Munko et al., 2023, <arXiv:2306.15259>). These procedures enable us to evaluate the overall hypothesis regarding equality, as well as specific hypotheses defined by contrasts. In particular, we can perform post hoc tests to examine particular comparisons of interest. Different experimental designs are supported, e.g., one-way and multi-way analysis of variance for functional data.

r-managedcloudprovider 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-dockerparallel@1.0.4 r-adagio@0.9.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/Jiefei-Wang/ManagedCloudProvider
Licenses: GPL 3
Build system: r
Synopsis: Providing the Kubernetes-Like Functions for the Non-Kubernetes Cloud Service
Description:

Providing the kubernetes-like class ManagedCloudProvider as a child class of the CloudProvider class in the DockerParallel package. The class is able to manage the cloud instance made by the non-kubernetes cloud service. For creating a provider for the non-kubernetes cloud service, the developer needs to define a reference class inherited from ManagedCloudProvider and define the method for the generics runDockerWorkerContainers(), getDockerWorkerStatus() and killDockerWorkerContainers(). For more information, please see the vignette in this package and <https://CRAN.R-project.org/package=DockerParallel>.

r-msdrought 0.1.1
Propagated dependencies: r-xts@0.14.1 r-signal@1.8-1 r-quantmod@0.4.28 r-lubridate@1.9.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/EdM44/msdrought/
Licenses: Expat
Build system: r
Synopsis: Seasonal Mid-Summer Drought Characteristics
Description:

Characterization of a mid-summer drought (MSD) with precipitation based statistics. The MSD is a phenomenon of decreased rainfall during a typical rainy season. It is a feature of rainfall in much of Central America and is also found in other locations, typically those with a Mediterranean climate. Details on the metrics are in Maurer et al. (2022) <doi:10.5194/hess-26-1425-2022>.

r-mixedmem 1.1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-gtools@3.9.5 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mixedMem
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Discrete Multivariate Mixed Membership Models
Description:

Fits mixed membership models with discrete multivariate data (with or without repeated measures) following the general framework of Erosheva et al (2004). This package uses a Variational EM approach by approximating the posterior distribution of latent memberships and selecting hyperparameters through a pseudo-MLE procedure. Currently supported data types are Bernoulli, multinomial and rank (Plackett-Luce). The extended GoM model with fixed stayers from Erosheva et al (2007) is now also supported. See Airoldi et al (2014) for other examples of mixed membership models.

r-mgsda 1.6.1
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=MGSDA
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Group Sparse Discriminant Analysis
Description:

This package implements Multi-Group Sparse Discriminant Analysis proposal of I.Gaynanova, J.Booth and M.Wells (2016), Simultaneous sparse estimation of canonical vectors in the p>>N setting, JASA <doi:10.1080/01621459.2015.1034318>.

r-markets 1.1.7
Dependencies: tbb@2021.6.0
Propagated dependencies: r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppgsl@0.3.13 r-rcpp@1.1.0 r-mass@7.3-65 r-formula@1.2-5 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/pi-kappa-devel/markets/
Licenses: Expat
Build system: r
Synopsis: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description:

This package provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. See Karapanagiotis (2024) <doi:10.18637/jss.v108.i02> for an overview of the functionality and examples. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.

r-mqmf 0.1.5
Propagated dependencies: r-mvtnorm@1.3-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/haddonm/MQMF/
Licenses: GPL 3
Build system: r
Synopsis: Modelling and Quantitative Methods in Fisheries
Description:

Complements the book "Using R for Modelling and Quantitative Methods in Fisheries" ISBN 9780367469894, published in 2021 by Chapman & Hall in their "Using R series". There are numerous functions and data-sets that are used in the book's many practical examples.

r-mta 0.6.0
Propagated dependencies: r-sf@1.0-23 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/riatelab/MTA/
Licenses: GPL 3
Build system: r
Synopsis: Multiscalar Territorial Analysis
Description:

Build multiscalar territorial analysis based on various contexts.

r-mixoofa 1.0
Propagated dependencies: r-rsolnp@2.0.1 r-mixexp@1.2.7.1 r-doofa@1.0 r-crossdes@1.1-2 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mixOofA
Licenses: GPL 2+
Build system: r
Synopsis: Design and Analysis of Order-of-Addition Mixture Experiments
Description:

This package provides a facility to generate various classes of fractional designs for order-of-addition experiments namely fractional order-of-additions orthogonal arrays, see Voelkel, Joseph G. (2019). "The design of order-of-addition experiments." Journal of Quality Technology 51:3, 230-241, <doi:10.1080/00224065.2019.1569958>. Provides facility to construct component orthogonal arrays, see Jian-Feng Yang, Fasheng Sun and Hongquan Xu (2020). "A Component Position Model, Analysis and Design for Order-of-Addition Experiments." Technometrics, <doi:10.1080/00401706.2020.1764394>. Supports generation of fractional designs for order-of-addition mixture experiments. Analysis of data from order-of-addition mixture experiments is also supported.

r-msda 1.0.4
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/archer-yang-lab/msda
Licenses: GPL 2
Build system: r
Synopsis: Multi-Class Sparse Discriminant Analysis
Description:

Efficient procedures for computing a new Multi-Class Sparse Discriminant Analysis method that estimates all discriminant directions simultaneously. It is an implementation of the work proposed by Mai, Q., Yang, Y., and Zou, H. (2019) <doi:10.5705/ss.202016.0117>.

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