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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-medlea 1.0.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MedLEA
Licenses: GPL 3
Build system: r
Synopsis: Morphological and Structural Features of Medicinal Leaves
Description:

This package contains a dataset of morphological and structural features of Medicinal LEAves (MedLEA)'. The features of each species is recorded by manually viewing the medicinal plant repository available at (<http://www.instituteofayurveda.org/plants/>). You can also download repository of leaf images of 1099 medicinal plants in Sri Lanka.

r-mglmn 0.1.0
Propagated dependencies: r-snowfall@1.84-6.3 r-mvabund@4.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mattocci27/mglmn
Licenses: Expat
Build system: r
Synopsis: Model Averaging for Multivariate GLM with Null Models
Description:

This package provides tools for univariate and multivariate generalized linear models with model averaging and null model technique.

r-malvinas 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=malvinas
Licenses: GPL 3
Build system: r
Synopsis: Islas Malvinas, Georgias Del Sur y Sándwich Del Sur
Description:

Data sets related to the Islas Malvinas /// Sets de datos relacionados a las Islas Malvinas - La Nación Argentina ratifica su legà tima e imprescriptible soberanà a sobre las islas Malvinas, Georgias del Sur y Sándwich del Sur y los espacios marà timos e insulares correspondientes, por ser parte integrante del territorio nacional. La recuperación de dichos territorios y el ejercicio pleno de la soberanà a, respetando el modo de vida de sus habitantes y conforme a los principios del Derecho Internacional, constituyen un objetivo permanente e irrenunciable del pueblo argentino.

r-modgetxl 0.4
Propagated dependencies: r-shinydashboard@0.7.3 r-shiny@1.11.1 r-readxl@1.4.5 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=modgetxl
Licenses: Expat
Build system: r
Synopsis: 'shiny' Module for Reading Excel Sheets
Description:

This is a shiny module that presents a file picker user interface to get an Excel file name, and reads the Excel sheets using readxl package and returns the resulting sheet(s) as a vector and data in dataframe(s).

r-malaytextr 0.1.3
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 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/zahiernasrudin/malaytextr
Licenses: Expat
Build system: r
Synopsis: Text Mining for Bahasa Malaysia
Description:

It is designed to work with text written in Bahasa Malaysia. We provide functions and data sets that will make working with Bahasa Malaysia text much easier. For word stemming in particular, we will look up the Malay words in a dictionary and then proceed to remove "extra suffix" as explained in Khan, Rehman Ullah, Fitri Suraya Mohamad, Muh Inam UlHaq, Shahren Ahmad Zadi Adruce, Philip Nuli Anding, Sajjad Nawaz Khan, and Abdulrazak Yahya Saleh Al-Hababi (2017) <https://ijrest.net/vol-4-issue-12.html> . This package includes a dictionary of Malay words that may be used to perform word stemming, a dataset of Malay stop words, a dataset of sentiment words and a dataset of normalized words.

r-mgmm 1.0.1.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plyr@1.8.9 r-mvnfast@0.2.8 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MGMM
Licenses: GPL 3
Build system: r
Synopsis: Missingness Aware Gaussian Mixture Models
Description:

Parameter estimation and classification for Gaussian Mixture Models (GMMs) in the presence of missing data. This package complements existing implementations by allowing for both missing elements in the input vectors and full (as opposed to strictly diagonal) covariance matrices. Estimation is performed using an expectation conditional maximization algorithm that accounts for missingness of both the cluster assignments and the vector components. The output includes the marginal cluster membership probabilities; the mean and covariance of each cluster; the posterior probabilities of cluster membership; and a completed version of the input data, with missing values imputed to their posterior expectations. For additional details, please see McCaw ZR, Julienne H, Aschard H. "Fitting Gaussian mixture models on incomplete data." <doi:10.1186/s12859-022-04740-9>.

r-mvdalab 1.7
Propagated dependencies: r-sn@2.1.1 r-reshape2@1.4.5 r-plyr@1.8.9 r-penalized@0.9-53 r-moments@0.14.1 r-mass@7.3-65 r-ggplot2@4.0.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mvdalab
Licenses: GPL 3
Build system: r
Synopsis: Multivariate Data Analysis Laboratory
Description:

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users). Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

r-mfp 1.5.5.1
Propagated dependencies: r-survival@3.8-3 r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mfp
Licenses: GPL 2+
Build system: r
Synopsis: Multivariable Fractional Polynomials
Description:

Multivariable Fractional Polynomial algorithm for model-building. Fractional polynomials are used to represent curvature in regression models. A key reference is Royston and Altman, 1994.

r-msde 1.0.5
Propagated dependencies: r-whisker@0.4.1 r-rcppprogress@0.4.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=msde
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Inference for Multivariate Stochastic Differential Equations
Description:

This package implements an MCMC sampler for the posterior distribution of arbitrary time-homogeneous multivariate stochastic differential equation (SDE) models with possibly latent components. The package provides a simple entry point to integrate user-defined models directly with the sampler's C++ code, and parallelizes large portions of the calculations when compiled with OpenMP'.

r-massprops 0.3.4
Propagated dependencies: r-rolluptree@0.4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jsjuni.github.io/massProps/
Licenses: Expat
Build system: r
Synopsis: Calculate Mass Properties and Uncertainties of Tree Structures
Description:

Recursively calculates mass properties (mass, center of mass, moments and products of inertia, and optionally, their uncertainties) for arbitrary decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005) <https://www.sawe.org/product/paper-3360/>).

r-mlr3superlearner 0.1.2
Propagated dependencies: r-purrr@1.2.0 r-mlr3learners@0.13.0 r-mlr3@1.2.0 r-lgr@0.5.0 r-glmnet@4.1-10 r-data-table@1.17.8 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mlr3superlearner
Licenses: GPL 3+
Build system: r
Synopsis: Super Learner Fitting and Prediction
Description:

An implementation of the Super Learner prediction algorithm from van der Laan, Polley, and Hubbard (2007) <doi:10.2202/1544-6115.1309 using the mlr3 framework.

r-mittagleffler 0.4.1
Propagated dependencies: r-stabledist@0.7-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://strakaps.github.io/MittagLeffleR/
Licenses: GPL 2+
Build system: r
Synopsis: Mittag-Leffler Family of Distributions
Description:

This package implements the Mittag-Leffler function, distribution, random variate generation, and estimation. Based on the Laplace-Inversion algorithm by Garrappa, R. (2015) <doi:10.1137/140971191>.

r-mleval 0.3
Propagated dependencies: 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=MLeval
Licenses: AGPL 3
Build system: r
Synopsis: Machine Learning Model Evaluation
Description:

Straightforward and detailed evaluation of machine learning models. MLeval can produce receiver operating characteristic (ROC) curves, precision-recall (PR) curves, calibration curves, and PR gain curves. MLeval accepts a data frame of class probabilities and ground truth labels, or, it can automatically interpret the Caret train function results from repeated cross validation, then select the best model and analyse the results. MLeval produces a range of evaluation metrics with confidence intervals.

r-macbehaviour 1.2.8
Propagated dependencies: r-rjson@0.2.23 r-openxlsx@4.2.8.1 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://cran.r-project.org/package=MacBehaviour
Licenses: LGPL 3
Build system: r
Synopsis: Behavioural Studies of Large Language Models
Description:

Efficient way to design and conduct psychological experiments for testing the performance of large language models. It simplifies the process of setting up experiments and data collection via language modelsâ API, facilitating a smooth workflow for researchers in the field of machine behaviour.

r-medicaldata 0.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://higgi13425.github.io/medicaldata/
Licenses: Expat
Build system: r
Synopsis: Data Package for Medical Datasets
Description:

This package provides access to well-documented medical datasets for teaching. Featuring several from the Teaching of Statistics in the Health Sciences website <https://www.causeweb.org/tshs/category/dataset/>, a few reconstructed datasets of historical significance in medical research, some reformatted and extended from existing R packages, and some data donations.

r-multifunc 0.9.4
Propagated dependencies: r-purrr@1.2.0 r-mass@7.3-65 r-magrittr@2.0.4 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://jebyrnes.github.io/multifunc/
Licenses: Expat
Build system: r
Synopsis: Analysis of Ecological Drivers on Ecosystem Multifunctionality
Description:

This package provides methods for the analysis of how ecological drivers affect the multifunctionality of an ecosystem based on methods of Byrnes et al. 2016 <doi:10.1111/2041-210X.12143> and Byrnes et al. 2022 <doi:10.1101/2022.03.17.484802>. Most standard methods in the literature are implemented (see vignettes) in a tidy format.

r-maaper 1.1.1
Propagated dependencies: r-rsamtools@2.26.0 r-mass@7.3-65 r-iranges@2.44.0 r-genomicranges@1.62.0 r-genomicfeatures@1.62.0 r-genomicalignments@1.46.0 r-genomeinfodb@1.46.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/Vivianstats/MAAPER
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Alternative Polyadenylation Using 3' End-Linked Reads
Description:

This package provides a computational method developed for model-based analysis of alternative polyadenylation (APA) using 3 end-linked reads. It accurately assigns 3 RNA-seq reads to polyA sites through statistical modeling, and generates multiple statistics for APA analysis. Please also see Li WV, Zheng D, Wang R, Tian B (2021) <doi:10.1186/s13059-021-02429-5>.

r-mnarclust 1.1.0
Propagated dependencies: r-sn@2.1.1 r-rmutil@1.1.10 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://arxiv.org/abs/2009.07662
Licenses: GPL 2+
Build system: r
Synopsis: Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models
Description:

Clustering of data under a non-ignorable missingness mechanism. Clustering is achieved by a semi-parametric mixture model and missingness is managed by using the pattern-mixture approach. More details of the approach are available in Du Roy de Chaumaray et al. (2020) <arXiv:2009.07662>.

r-mimsy 0.6.5
Propagated dependencies: r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/michelleckelly/mimsy
Licenses: Expat
Build system: r
Synopsis: Calculate MIMS Dissolved Gas Concentrations Without Getting a Headache
Description:

Calculate dissolved gas concentrations from raw MIMS (Membrane Inlet Mass Spectrometer) signal data. Use mimsy() on a formatted CSV file to return dissolved gas concentrations (mg and microMole) of N2, O2, Ar based on gas solubility at temperature, pressure, and salinity. See references Benson and Krause (1984), Garcia and Gordon (1992), Stull (1947), and Hamme and Emerson (2004) for more information. Easily save the output to a nicely-formatted multi-tab Excel workbook with mimsy.save(). Supports dual-temperature standard calibration for dual-bath MIMS setups.

r-mgbt 1.0.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://doi.org/10.5066/P9CW9EF0
Licenses: CC0
Build system: r
Synopsis: Multiple Grubbs-Beck Low-Outlier Test
Description:

Compute the multiple Grubbs-Beck low-outlier test on positively distributed data and utilities for noninterpretive U.S. Geological Survey annual peak-streamflow data processing discussed in Cohn et al. (2013) <doi:10.1002/wrcr.20392> and England et al. (2017) <doi:10.3133/tm4B5>.

r-minioclient 0.0.6
Propagated dependencies: r-processx@3.8.6 r-jsonlite@2.0.0 r-glue@1.8.0 r-fs@1.6.6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/cboettig/minioclient
Licenses: Expat
Build system: r
Synopsis: Interface to the 'MinIO' Client
Description:

An R interface to the MinIO Client. The MinIO Client ('mc') provides a modern alternative to UNIX commands like ls', cat', cp', mirror', diff', find etc. It supports filesystems and Amazon "S3" compatible cloud storage service ("AWS" Signature v2 and v4). This package provides convenience functions for installing the MinIO client and running any operations, as described in the official documentation, <https://min.io/docs/minio/linux/reference/minio-mc.html?ref=docs-redirect>. This package provides a flexible and high-performance alternative to aws.s3'.

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-mildsvm 0.4.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-proc@1.19.0.1 r-pillar@1.11.1 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-kernlab@0.9-33 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/skent259/mildsvm
Licenses: Expat
Build system: r
Synopsis: Multiple-Instance Learning with Support Vector Machines
Description:

Weakly supervised (WS), multiple instance (MI) data lives in numerous interesting applications such as drug discovery, object detection, and tumor prediction on whole slide images. The mildsvm package provides an easy way to learn from this data by training Support Vector Machine (SVM)-based classifiers. It also contains helpful functions for building and printing multiple instance data frames. The core methods from mildsvm come from the following references: Kent and Yu (2024) <doi:10.1214/24-AOAS1876>; Xiao, Liu, and Hao (2018) <doi:10.1109/TNNLS.2017.2766164>; Muandet et al. (2012) <https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>; Chu and Keerthi (2007) <doi:10.1162/neco.2007.19.3.792>; and Andrews et al. (2003) <https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>. Many functions use the Gurobi optimization back-end to improve the optimization problem speed; the gurobi R package and associated software can be downloaded from <https://www.gurobi.com> after obtaining a license.

r-mapiso 0.3.0
Propagated dependencies: r-sf@1.0-23 r-isoband@0.2.7
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/riatelab/mapiso
Licenses: GPL 3+
Build system: r
Synopsis: Create Contour Polygons from Regular Grids
Description:

Regularly spaced grids containing continuous data are transformed to contour polygons. A grid can be defined by a data.frame (x, y, value), an sf object or a raster from terra'.

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