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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-multilink 0.1.1
Propagated dependencies: r-stringr@1.6.0 r-recordlinkage@0.4-12.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mcclust@1.0.1 r-igraph@2.2.1 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/aleshing/multilink
Licenses: GPL 3
Build system: r
Synopsis: Multifile Record Linkage and Duplicate Detection
Description:

Implementation of the methodology of Aleshin-Guendel & Sadinle (2022) <doi:10.1080/01621459.2021.2013242>. It handles the general problem of multifile record linkage and duplicate detection, where any number of files are to be linked, and any of the files may have duplicates.

r-marcher 0.0-2
Propagated dependencies: r-zoo@1.8-14 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-minpack-lm@1.2-4 r-matrix@1.7-4 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=marcher
Licenses: GPL 2
Build system: r
Synopsis: Migration and Range Change Estimation in R
Description:

This package provides a set of tools for likelihood-based estimation, model selection and testing of two- and three-range shift and migration models for animal movement data as described in Gurarie et al. (2017) <doi: 10.1111/1365-2656.12674>. Provided movement data (X, Y and Time), including irregularly sampled data, functions estimate the time, duration and location of one or two range shifts, as well as the ranging area and auto-correlation structure of the movment. Tests assess, for example, whether the shift was "significant", and whether a two-shift migration was a true return migration.

r-mlr3oml 0.12.0
Propagated dependencies: r-withr@3.0.2 r-uuid@1.2-1 r-stringi@1.8.7 r-r6@2.6.1 r-paradox@1.0.1 r-mlr3misc@0.19.0 r-mlr3@1.2.0 r-lgr@0.5.0 r-jsonlite@2.0.0 r-data-table@1.17.8 r-curl@7.0.0 r-checkmate@2.3.3 r-bit64@4.6.0-1 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlr3oml.mlr-org.com
Licenses: LGPL 3
Build system: r
Synopsis: Connector Between 'mlr3' and 'OpenML'
Description:

This package provides an interface to OpenML.org to list and download machine learning data, tasks and experiments. The OpenML objects can be automatically converted to mlr3 objects. For a more sophisticated interface with more upload options, see the OpenML package.

r-mfpp 0.0.9
Propagated dependencies: r-rfast@2.1.5.2 r-reshape2@1.4.5 r-pracma@2.4.6 r-nsga2r@1.1 r-igraph@2.2.1 r-ggplot2@4.0.1 r-genalg@0.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/kzst/mfpp
Licenses: GPL 2+
Build system: r
Synopsis: 'Matrix-Based Flexible Project Planning'
Description:

Matrix-Based Flexible Project Planning. This package models, plans, and schedules flexible, such as agile, extreme, and hybrid project plans. The package contains project planning, scheduling, and risk assessment functions. Kosztyan (2022) <doi:10.1016/j.softx.2022.100973>.

r-moc-gapbk 0.1.3
Propagated dependencies: r-nsga2r@1.1 r-foreach@1.5.2 r-dosnow@1.0.20 r-doparallel@1.0.17 r-dompi@0.2.2 r-amap@0.8-20
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=moc.gapbk
Licenses: GPL 2
Build system: r
Synopsis: Multi-Objective Clustering Algorithm Guided by a-Priori Biological Knowledge
Description:

This package implements the Multi-Objective Clustering Algorithm Guided by a-Priori Biological Knowledge (MOC-GaPBK) which was proposed by Parraga-Alava, J. et. al. (2018) <doi:10.1186/s13040-018-0178-4>.

r-mapsapi 0.5.4
Propagated dependencies: r-xml2@1.5.0 r-stars@0.6-8 r-sf@1.0-23 r-rgooglemaps@1.5.3 r-httr@1.4.7 r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://michaeldorman.github.io/mapsapi/
Licenses: Expat
Build system: r
Synopsis: 'sf'-Compatible Interface to 'Google Maps' APIs
Description:

Interface to the Google Maps APIs: (1) routing directions based on the Directions API, returned as sf objects, either as single feature per alternative route, or a single feature per segment per alternative route; (2) travel distance or time matrices based on the Distance Matrix API; (3) geocoded locations based on the Geocode API, returned as sf objects, either points or bounds; (4) map images using the Maps Static API, returned as stars objects.

r-modturpoint 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=modTurPoint
Licenses: GPL 3
Build system: r
Synopsis: Estimate ED50 Based on Modified Turning Point Method
Description:

Turning point method is a method proposed by Choi (1990) <doi:10.2307/2531453> to estimate 50 percent effective dose (ED50) in the study of drug sensitivity. The method has its own advantages for that it can provide robust ED50 estimation. This package contains the modified function of Choi's turning point method.

r-mapscanner 0.1.1
Propagated dependencies: r-tibble@3.3.0 r-slippymath@0.3.1 r-sf@1.0-23 r-rniftyreg@2.8.4 r-reproj@0.7.0 r-rcpp@1.1.0 r-raster@3.6-32 r-purrr@1.2.0 r-png@0.1-8 r-pdftools@3.6.0 r-memoise@2.0.1 r-magrittr@2.0.4 r-magick@2.9.0 r-glue@1.8.0 r-fs@1.6.6 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/ropensci/mapscanner
Licenses: GPL 3 FreeBSD
Build system: r
Synopsis: Print Maps, Draw on Them, Scan Them Back in
Description:

Enables preparation of maps to be printed and drawn on. Modified maps can then be scanned back in, and hand-drawn marks converted to spatial objects.

r-maketools 1.3.2
Propagated dependencies: r-sys@3.4.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jeroen.r-universe.dev/maketools
Licenses: Expat
Build system: r
Synopsis: Exploring and Testing the Toolchain and System Libraries
Description:

Helper functions that interface with the system utilities to learn about the local build environment. Lets you explore make rules to test the local configuration, or query pkg-config to find compiler flags and libs needed for building packages with external dependencies. Also contains tools to analyze which libraries that a installed R package linked to by inspecting output from ldd in combination with information from your distribution package manager, e.g. rpm or dpkg'.

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>.

r-multirobust 1.0.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MultiRobust
Licenses: GPL 2+
Build system: r
Synopsis: Multiply Robust Methods for Missing Data Problems
Description:

Multiply robust estimation for population mean (Han and Wang 2013) <doi:10.1093/biomet/ass087>, regression analysis (Han 2014) <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.

r-manlymix 0.1.15.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=ManlyMix
Licenses: GPL 2+
Build system: r
Synopsis: Manly Mixture Modeling and Model-Based Clustering
Description:

The utility of this package includes finite mixture modeling and model-based clustering through Manly mixture models by Zhu and Melnykov (2016) <DOI:10.1016/j.csda.2016.01.015>. It also provides capabilities for forward and backward model selection procedures.

r-maraca 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-patchwork@1.3.2 r-lifecycle@1.0.4 r-hce@0.9.0 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://github.com/AstraZeneca/maraca
Licenses: FSDG-compatible
Build system: r
Synopsis: The Maraca Plot: Visualizing Hierarchical Composite Endpoints
Description:

Supports visual interpretation of hierarchical composite endpoints (HCEs). HCEs are complex constructs used as primary endpoints in clinical trials, combining outcomes of different types into ordinal endpoints, in which each patient contributes the most clinically important event (one and only one) to the analysis. See Karpefors M et al. (2022) <doi:10.1177/17407745221134949>.

r-minigui 0.8-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=miniGUI
Licenses: FSDG-compatible
Build system: r
Synopsis: Tcl/Tk Quick and Simple Function GUI
Description:

Quick and simple Tcl/Tk Graphical User Interface to call functions. Also comprises a very simple experimental GUI framework.

r-mcboost 0.4.4
Propagated dependencies: r-rpart@4.1.24 r-rmarkdown@2.30 r-r6@2.6.1 r-mlr3pipelines@0.10.0 r-mlr3misc@0.19.0 r-mlr3@1.2.0 r-glmnet@4.1-10 r-data-table@1.17.8 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://github.com/mlr-org/mcboost
Licenses: LGPL 3+
Build system: r
Synopsis: Multi-Calibration Boosting
Description:

This package implements Multi-Calibration Boosting (2018) <https://proceedings.mlr.press/v80/hebert-johnson18a.html> and Multi-Accuracy Boosting (2019) <doi:10.48550/arXiv.1805.12317> for the multi-calibration of a machine learning model's prediction. MCBoost updates predictions for sub-groups in an iterative fashion in order to mitigate biases like poor calibration or large accuracy differences across subgroups. Multi-Calibration works best in scenarios where the underlying data & labels are unbiased, but resulting models are. This is often the case, e.g. when an algorithm fits a majority population while ignoring or under-fitting minority populations.

r-momocs 1.5.0
Propagated dependencies: r-vegan@2.7-2 r-tibble@3.3.0 r-sp@2.2-0 r-sf@1.0-23 r-rcolorbrewer@1.1-3 r-progress@1.2.3 r-mass@7.3-65 r-magrittr@2.0.4 r-jpeg@0.1-11 r-ggplot2@4.0.1 r-geomorph@4.0.10 r-geometry@0.5.2 r-dplyr@1.1.4 r-dendextend@1.19.1 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/MomX/Momocs/
Licenses: GPL 3+
Build system: r
Synopsis: Morphometrics using R
Description:

The goal of Momocs is to provide a complete, convenient, reproducible and open-source toolkit for 2D morphometrics. It includes most common 2D morphometrics approaches on outlines, open outlines, configurations of landmarks, traditional morphometrics, and facilities for data preparation, manipulation and visualization with a consistent grammar throughout. It allows reproducible, complex morphometrics analyses and other morphometrics approaches should be easy to plug in, or develop from, on top of this canvas. Companion paper is published in JSS Bonhomme V, Picq S, Gaucherel C and Claude J (2014) <doi:10.18637/jss.v056.i13>. Now superseded by Momocs2 and the MomX ecosystem. Momocs should be considered retired and will no longer be supported someday.

r-mvctm 1.2
Propagated dependencies: r-spatialnp@1.1-6 r-rfit@0.27.0 r-quantreg@6.1 r-nlme@3.1-168 r-mnm@1.0-4 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mvctm
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Variance Components Tests for Multilevel Data
Description:

Permutation tests for variance components for 2-level, 3-level and 4-level data with univariate or multivariate responses.

r-ml2pvae 1.0.0.1
Propagated dependencies: r-tfprobability@0.15.2 r-tensorflow@2.20.0 r-reticulate@1.44.1 r-keras@2.16.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://converseg.github.io
Licenses: Expat
Build system: r
Synopsis: Variational Autoencoder Models for IRT Parameter Estimation
Description:

Based on the work of Curi, Converse, Hajewski, and Oliveira (2019) <doi:10.1109/IJCNN.2019.8852333>. This package provides easy-to-use functions which create a variational autoencoder (VAE) to be used for parameter estimation in Item Response Theory (IRT) - namely the Multidimensional Logistic 2-Parameter (ML2P) model. To use a neural network as such, nontrivial modifications to the architecture must be made, such as restricting the nonzero weights in the decoder according to some binary matrix Q. The functions in this package allow for straight-forward construction, training, and evaluation so that minimal knowledge of tensorflow or keras is required.

r-mgms2 1.0.2
Propagated dependencies: r-maldiquantforeign@0.14.1 r-maldiquant@1.22.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MGMS2
Licenses: GPL 3
Build system: r
Synopsis: 'MGMS2' for Polymicrobial Samples
Description:

This package provides a glycolipid mass spectrometry technology has the potential to accurately identify individual bacterial species from polymicrobial samples. To develop bacterial identification algorithms (e.g. machine learning) using this glycolipid technology, it is necessary to generate a large number of various in-silico polymicrobial mass spectra that are similar to real mass spectra. MGMS2 (Membrane Glycolipid Mass Spectrum Simulator) generates such in-silico mass spectra, considering errors in m/z (mass-to-charge ratio) and variances of intensity values, occasions of missing signature ions, and noise peaks. It estimates summary statistics of monomicrobial mass spectra for each strain or species and simulates polymicrobial glycolipid mass spectra using the summary statistics of monomicrobial mass spectra. References: Ryu, S.Y., Wendt, G.A., Chandler, C.E., Ernst, R.K. and Goodlett, D.R. (2019) <doi:10.1021/acs.analchem.9b03340> "Model-based Spectral Library Approach for Bacterial Identification via Membrane Glycolipids." Gibb, S. and Strimmer, K. (2012) <doi:10.1093/bioinformatics/bts447> "MALDIquant: a versatile R package for the analysis of mass spectrometry data.".

r-manynet 1.7.0
Propagated dependencies: r-tidygraph@1.3.1 r-pillar@1.11.1 r-network@1.19.0 r-igraph@2.2.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://stocnet.github.io/manynet/
Licenses: Expat
Build system: r
Synopsis: Many Ways to Make, Modify, Mark, and Measure Myriad Networks
Description:

Many tools for making, modifying, marking, measuring, and motifs and memberships of many different types of networks. All functions operate with matrices, edge lists, and igraph', network', and tidygraph objects, on directed, multiplex, multimodal, signed, and other networks. The package includes functions for importing and exporting, creating and generating networks, modifying networks and node and tie attributes, and describing networks with sensible defaults.

r-mlcm 0.4.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MLCM
Licenses: GPL 2+
Build system: r
Synopsis: Maximum Likelihood Conjoint Measurement
Description:

Conjoint measurement is a psychophysical procedure in which stimulus pairs are presented that vary along 2 or more dimensions and the observer is required to compare the stimuli along one of them. This package contains functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.

r-mdftracks 0.2.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/burgerga/mdftracks
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Read and Write 'MTrackJ Data Files'
Description:

MTrackJ is an ImageJ plugin for motion tracking and analysis (see <https://imagescience.org/meijering/software/mtrackj/>). This package reads and writes MTrackJ Data Files ('.mdf', see <https://imagescience.org/meijering/software/mtrackj/format/>). It supports 2D data and read/writes cluster, point, and channel information. If desired, generates track identifiers that are unique over the clusters. See the project page for more information and examples.

r-mllrnrs 0.0.8
Propagated dependencies: r-r6@2.6.1 r-mlexperiments@1.0.0 r-kdry@0.0.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/kapsner/mllrnrs
Licenses: GPL 3+
Build system: r
Synopsis: R6-Based ML Learners for 'mlexperiments'
Description:

Enhances mlexperiments <https://CRAN.R-project.org/package=mlexperiments> with additional machine learning ('ML') learners. The package provides R6-based learners for the following algorithms: glmnet <https://CRAN.R-project.org/package=glmnet>, ranger <https://CRAN.R-project.org/package=ranger>, xgboost <https://CRAN.R-project.org/package=xgboost>, and lightgbm <https://CRAN.R-project.org/package=lightgbm>. These can be used directly with the mlexperiments R package.

r-magmar 1.0.4
Propagated dependencies: r-jsonlite@2.0.0 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=magmaR
Licenses: GPL 2
Build system: r
Synopsis: R-Client for Interacting with the 'UCSF Data Library'
Description:

This package provides a client for interacting with magma', the data warehouse of the UCSF Data Library'. magmaR includes functions for querying and downloading data from magma', in order to enable working with such data in R, as well as for uploading local data to magma'.

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