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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-micar 1.2.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=micar
Licenses: GPL 3
Build system: r
Synopsis: 'Mica' Data Web Portal Client
Description:

Mica is a server application used to create data web portals for large-scale epidemiological studies or multiple-study consortia. Mica helps studies to provide scientifically robust data visibility and web presence without significant information technology effort. Mica provides a structured description of consortia, studies, annotated and searchable data dictionaries, and data access request management. This Mica client allows to perform data extraction for reporting purposes.

r-modestm 0.0.1
Propagated dependencies: r-rlang@1.1.6 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=ModEstM
Licenses: GPL 3
Build system: r
Synopsis: Mode Estimation, Even in the Multimodal Case
Description:

Function ModEstM() is the only one of this package, it estimates the modes of an empirical univariate distribution. It relies on the stats::density() function, even for input control. Due to very good performance of the density estimation, computation time is not an issue. The multiple modes are handled using dplyr::group_by(). For conditions and rates of convergences, see Eddy (1980) <doi:10.1214/aos/1176345080>.

r-monan 1.1.0
Propagated dependencies: r-snowfall@1.84-6.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MoNAn
Licenses: GPL 3+
Build system: r
Synopsis: Mobility Network Analysis
Description:

This package implements the method to analyse weighted mobility networks or distribution networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022) <doi:10.1016/j.socnet.2021.08.003>. The purpose of the model is to analyse the structure of mobility, incorporating exogenous predictors pertaining to individuals and locations known from classical mobility analyses, as well as modelling emergent mobility patterns akin to structural patterns known from the statistical analysis of social networks.

r-multivator 1.1-11
Propagated dependencies: r-mvtnorm@1.3-3 r-mathjaxr@1.8-0 r-emulator@1.2-24
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/RobinHankin/multivator
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Emulator
Description:

This package provides a multivariate generalization of the emulator package.

r-markowitz 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-tidyr@1.3.1 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/luana1909/Markowitiz
Licenses: GPL 3
Build system: r
Synopsis: Markowitz Criterion
Description:

The Markowitz criterion is a multicriteria decision-making method that stands out in risk and uncertainty analysis in contexts where probabilities are known. This approach represents an evolution of Pascal's criterion by incorporating the dimension of variability. In this framework, the expected value reflects the anticipated return, while the standard deviation serves as a measure of risk. The markowitz package provides a practical and accessible tool for implementing this method, enabling researchers and professionals to perform analyses without complex calculations. Thus, the package facilitates the application of the Markowitz criterion. More details on the method can be found in Octave Jokung-Nguéna (2001, ISBN 2100055372).

r-mbir 1.3.5
Propagated dependencies: r-psych@2.5.6 r-effsize@0.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://mbir-project.us/
Licenses: GPL 2
Build system: r
Synopsis: Magnitude-Based Inferences
Description:

Allows practitioners and researchers a wholesale approach for deriving magnitude-based inferences from raw data. A major goal of mbir is to programmatically detect appropriate statistical tests to run in lieu of relying on practitioners to determine correct stepwise procedures independently.

r-mwlaxeref 0.0.1
Propagated dependencies: r-rlang@1.1.6 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=mwlaxeref
Licenses: Expat
Build system: r
Synopsis: Cross-References Lake Identifiers Between Different Data Sets
Description:

Handy helper package for cross-referencing lake identifiers among different data sets in the Midwestern United States. There are multiple different state, regional, and federal agencies that have different identifiers on lakes. This package helps you to go between them.

r-mapsperu 2.0.1
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/musajajorge/mapsPERU
Licenses: GPL 3
Build system: r
Synopsis: Maps of Peru
Description:

Information of the centroids and geographical limits of the regions, departments, provinces and districts of Peru.

r-multimark 2.1.7
Propagated dependencies: r-statmod@1.5.1 r-sp@2.2-0 r-rmark@3.0.7 r-raster@3.6-32 r-prodlim@2025.04.28 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-coda@0.19-4.1 r-brobdingnag@1.2-9
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multimark
Licenses: GPL 2
Build system: r
Synopsis: Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Description:

Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in multimark combine encounter history data arising from two different non-invasive "marks", such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, multimark also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks. See McClintock (2015) <doi:10.1002/ece3.1676> and Maronde et al. (2020) <doi:10.1002/ece3.6990>.

r-mixtur 1.2.2
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 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/JimGrange/mixtur
Licenses: GPL 3
Build system: r
Synopsis: Modelling Continuous Report Visual Short-Term Memory Studies
Description:

This package provides a set of utility functions for analysing and modelling data from continuous report short-term memory experiments using either the 2-component mixture model of Zhang and Luck (2008) <doi:10.1038/nature06860> or the 3-component mixture model of Bays et al. (2009) <doi:10.1167/9.10.7>. Users are also able to simulate from these models.

r-mixghd 2.3.7
Propagated dependencies: r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-mixture@2.2.0 r-mass@7.3-65 r-ghyp@1.6.5 r-e1071@1.7-16 r-cluster@2.1.8.1 r-bessel@0.7-0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MixGHD
Licenses: GPL 2+
Build system: r
Synopsis: Model Based Clustering, Classification and Discriminant Analysis Using the Mixture of Generalized Hyperbolic Distributions
Description:

Carries out model-based clustering, classification and discriminant analysis using five different models. The models are all based on the generalized hyperbolic distribution. The first model MGHD (Browne and McNicholas (2015) <doi:10.1002/cjs.11246>) is the classical mixture of generalized hyperbolic distributions. The MGHFA (Tortora et al. (2016) <doi:10.1007/s11634-015-0204-z>) is the mixture of generalized hyperbolic factor analyzers for high dimensional data sets. The MSGHD is the mixture of multiple scaled generalized hyperbolic distributions, the cMSGHD is a MSGHD with convex contour plots and the MCGHD', mixture of coalesced generalized hyperbolic distributions is a new more flexible model (Tortora et al. (2019)<doi:10.1007/s00357-019-09319-3>. The paper related to the software can be found at <doi:10.18637/jss.v098.i03>.

r-metr 0.18.3
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-plyr@1.8.9 r-memoise@2.0.1 r-lubridate@1.9.4 r-isoband@0.2.7 r-gtable@0.3.6 r-ggplot2@4.0.1 r-formula-tools@1.7.1 r-formula@1.2-5 r-digest@0.6.39 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://eliocamp.github.io/metR/
Licenses: GPL 3
Build system: r
Synopsis: Tools for Easier Analysis of Meteorological Fields
Description:

Many useful functions and extensions for dealing with meteorological data in the tidy data framework. Extends ggplot2 for better plotting of scalar and vector fields and provides commonly used analysis methods in the atmospheric sciences.

r-mfdp 0.2.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mFDP
Licenses: GPL 3
Build system: r
Synopsis: Control of the Median of the FDP
Description:

This package provides methods for controlling the median of the false discovery proportion (mFDP). Depending on the method, simultaneous or non-simultaneous inference is provided. The methods take a vector of p-values or test statistics as input.

r-matriks 0.1.5
Propagated dependencies: r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=matRiks
Licenses: Expat
Build system: r
Synopsis: Generates Raven-Like Matrices According to Rules
Description:

Generates Raven like matrices according to different rules and the response list associated to the matrix. The package can generate matrices composed of 4 or 9 cells, along with a response list of 11 elements (the correct response + 10 incorrect responses). The matrices can be generated according to both logical rules (i.e., the relationships between the elements in the matrix are manipulated to create the matrix) and visual-spatial rules (i.e., the visual or spatial characteristics of the elements are manipulated to generate the matrix). The graphical elements of this package are based on the DescTools package. This package has been developed within the PRIN2020 Project (Prot. 20209WKCLL) titled "Computerized, Adaptive and Personalized Assessment of Executive Functions and Fluid Intelligence" and founded by the Italian Ministry of Education and Research.

r-mortalitytables 2.0.5
Propagated dependencies: r-scales@1.4.0 r-pracma@2.4.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://gitlab.open-tools.net/R/r-mortality-tables
Licenses: GPL 2+
Build system: r
Synopsis: Framework for Various Types of Mortality / Life Tables
Description:

This package provides classes to implement, analyze and plot cohort life tables for actuarial calculations. Birth-year dependent cohort mortality tables using a yearly trend to extrapolate from a base year are implemented, as well as period life table, cohort life tables using an age shift, and merged life tables. Additionally, several data sets from various countries are included to provide widely-used tables out of the box.

r-mcgf 1.1.1
Propagated dependencies: r-sp@2.2-0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/tianxia-jia/mcgf
Licenses: Expat
Build system: r
Synopsis: Markov Chain Gaussian Fields Simulation and Parameter Estimation
Description:

Simulating and estimating (regime-switching) Markov chain Gaussian fields with covariance functions of the Gneiting class (Gneiting 2002) <doi:10.1198/016214502760047113>. It supports parameter estimation by weighted least squares and maximum likelihood methods, and produces Kriging forecasts and intervals for existing and new locations.

r-monashtipr 0.1.0
Propagated dependencies: r-xml2@1.5.0 r-rvest@1.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-httr@1.4.7 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jimmyday12.github.io/monash_tipr/
Licenses: Expat
Build system: r
Synopsis: An R API Wrapper for the Monash University Probabilistic Footy Tipping Competition
Description:

An API wrapper for the Monash University Probabilistic Footy Tipping Competition <https://probabilistic-footy.monash.edu/~footy/index.shtml>. Allows users to submit tips directly to the competition from R.

r-montecarlo 1.0.6
Propagated dependencies: r-snowfall@1.84-6.3 r-snow@0.4-4 r-rlecuyer@0.3-8 r-reshape@0.8.10 r-codetools@0.2-20 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://github.com/FunWithR/MonteCarlo
Licenses: GPL 2
Build system: r
Synopsis: Automatic Parallelized Monte Carlo Simulations
Description:

Simplifies Monte Carlo simulation studies by automatically setting up loops to run over parameter grids and parallelising the Monte Carlo repetitions. It also generates LaTeX tables.

r-makeunique 1.0.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/selkamand/makeunique
Licenses: Expat
Build system: r
Synopsis: Make Character Strings Unique
Description:

Make all elements of a character vector unique. Differs from make.unique by starting at 1 and allowing users to customise suffix format.

r-maoea 0.6.2
Dependencies: python-numpy@1.26.4
Propagated dependencies: r-stringr@1.6.0 r-reticulate@1.44.1 r-randtoolbox@2.0.5 r-pracma@2.4.6 r-nsga2r@1.1 r-nnet@7.3-20 r-mass@7.3-65 r-lhs@1.2.0 r-gtools@3.9.5 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/dots26/MaOEA
Licenses: GPL 3+
Build system: r
Synopsis: Many Objective Evolutionary Algorithm
Description:

This package provides a set of evolutionary algorithms to solve many-objective optimization. Hybridization between the algorithms are also facilitated. Available algorithms are: SMS-EMOA <doi:10.1016/j.ejor.2006.08.008> NSGA-III <doi:10.1109/TEVC.2013.2281535> MO-CMA-ES <doi:10.1145/1830483.1830573> The following many-objective benchmark problems are also provided: DTLZ1'-'DTLZ4 from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and WFG4'-'WFG9 from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.

r-mortalitygaps 1.0.7
Propagated dependencies: r-rdpack@2.6.4 r-pbapply@1.7-4 r-mass@7.3-65 r-forecast@8.24.0 r-crch@1.2-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mpascariu/MortalityGaps
Licenses: GPL 3
Build system: r
Synopsis: The Double-Gap Life Expectancy Forecasting Model
Description:

Life expectancy is highly correlated over time among countries and between males and females. These associations can be used to improve forecasts. Here we have implemented a method for forecasting female life expectancy based on analysis of the gap between female life expectancy in a country compared with the record level of female life expectancy in the world. Second, to forecast male life expectancy, the gap between male life expectancy and female life expectancy in a country is analysed. We named this method the Double-Gap model. For a detailed description of the method see Pascariu et al. (2018). <doi:10.1016/j.insmatheco.2017.09.011>.

r-minsample1 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=minsample1
Licenses: GPL 3
Build system: r
Synopsis: The Minimum Sample Size
Description:

Using this package, one can determine the minimum sample size required so that the absolute deviation of the sample mean and the population mean of a distribution becomes less than some pre-determined epsilon, i.e. it helps the user to determine the minimum sample size required to attain the pre-fixed precision level by minimizing the difference between the sample mean and population mean.

r-mfo 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-readxl@1.4.5 r-openxlsx@4.2.8.1 r-minpack-lm@1.2-4 r-magrittr@2.0.4 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/JorgeDelro/MFO
Licenses: Expat
Build system: r
Synopsis: Maximal Fat Oxidation and Kinetics Calculation
Description:

Calculate the maximal fat oxidation, the exercise intensity that elicits the maximal fat oxidation and the SIN model to represent the fat oxidation kinetics. Three variables can be obtained from the SIN model: dilatation, symmetry and translation. Examples of these methods can be found in Montes de Oca et al (2021) <doi:10.1080/17461391.2020.1788650> and Chenevière et al. (2009) <doi:10.1249/MSS.0b013e31819e2f91>.

r-mbnmadose 0.5.0
Dependencies: jags@4.3.1
Propagated dependencies: r-scales@1.4.0 r-rjags@4-17 r-reshape2@1.4.5 r-rdpack@2.6.4 r-r2jags@0.8-9 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://hugaped.github.io/MBNMAdose/
Licenses: GPL 3
Build system: r
Synopsis: Dose-Response MBNMA Models
Description:

Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that incorporate multiple doses within an agent by modelling different dose-response functions, as described by Mawdsley et al. (2016) <doi:10.1002/psp4.12091>. By modelling dose-response relationships this can connect networks of evidence that might otherwise be disconnected, and can improve precision on treatment estimates. Several common dose-response functions are provided; others may be added by the user. Various characteristics and assumptions can be flexibly added to the models, such as shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting at the treatment level.

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