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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-mmdcopula 0.2.1
Propagated dependencies: r-wdm@0.2.6 r-vinecopula@2.6.1 r-randtoolbox@2.0.5 r-pbapply@1.7-4 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MMDCopula
Licenses: GPL 3
Build system: r
Synopsis: Robust Estimation of Copulas by Maximum Mean Discrepancy
Description:

This package provides functions for the robust estimation of parametric families of copulas using minimization of the Maximum Mean Discrepancy, following the article Alquier, Chérief-Abdellatif, Derumigny and Fermanian (2022) <doi:10.1080/01621459.2021.2024836>.

r-markowitzr 1.0.3
Propagated dependencies: r-matrixcalc@1.0-6 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/shabbychef/MarkowitzR
Licenses: LGPL 3
Build system: r
Synopsis: Statistical Significance of the Markowitz Portfolio
Description:

This package provides a collection of tools for analyzing significance of Markowitz portfolios, using the delta method on the second moment matrix, <arxiv:1312.0557>.

r-mindr 1.4.1
Propagated dependencies: r-rmarkdown@2.30 r-rdpack@2.6.4 r-pdftools@3.6.0 r-knitr@1.50 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/pzhaonet/mindr
Licenses: GPL 3
Build system: r
Synopsis: Generate Mind Maps
Description:

Convert Markdown ('.md') or R Markdown ('.Rmd') texts, R scripts, directory structures, and other hierarchical structured documents into mind map widgets or Freemind codes or Mermaid mind map codes, and vice versa. Freemind mind map ('.mm') files can be opened by or imported to common mind map software such as Freemind (<https://freemind.sourceforge.io/wiki/index.php/Main_Page>). Mermaid mind map codes (<https://mermaid.js.org/>) can be directly embedded in documents.

r-mmod 1.3.3
Propagated dependencies: r-pegas@1.3 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/dwinter/mmod
Licenses: Expat
Build system: r
Synopsis: Modern Measures of Population Differentiation
Description:

This package provides functions for measuring population divergence from genotypic data.

r-mixexp 1.2.7.1
Propagated dependencies: r-lattice@0.22-7 r-daewr@1.2-11
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mixexp
Licenses: GPL 2+
Build system: r
Synopsis: Design and Analysis of Mixture Experiments
Description:

This package provides functions for creating designs for mixture experiments, making ternary contour plots, and making mixture effect plots.

r-mojson 0.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rjsonio@2.0.0 r-magrittr@2.0.4 r-iterators@1.0.14 r-comparedf@2.3.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/chriswweibo/mojson
Licenses: Expat
Build system: r
Synopsis: Serialization-Style Flattening and Description for JSON
Description:

Support JSON flattening in a long data frame way, where the nesting keys will be stored in the absolute path. It also provides an easy way to summarize the basic description of a JSON list. The idea of mojson is to transform a JSON object in an absolute serialization way, which means the early key-value pairs will appear in the heading rows of the resultant data frame. mojson also provides an alternative way of comparing two different JSON lists, returning the left/inner/right-join style results.

r-missr 1.0.1
Propagated dependencies: r-tibble@3.3.0 r-norm@1.0-11.1 r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/NoahHellen/missr
Licenses: Expat
Build system: r
Synopsis: Classify Missing Data as MCAR, MAR, or MNAR
Description:

Classify missing data as missing completely at random (MCAR), missing at random (MAR), or missing not at random (MNAR). This step is required before handling missing data (e.g. mean imputation) so that bias is not introduced. See Little (1988) <doi:10.1080/01621459.1988.10478722> for the statistical rationale for the methods used.

r-motbfs 1.4.2
Propagated dependencies: r-quadprog@1.5-8 r-matrix@1.7-4 r-lpsolve@5.6.23 r-ggm@2.5.2 r-bnlearn@5.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MoTBFs
Licenses: LGPL 3
Build system: r
Synopsis: Learning Hybrid Bayesian Networks using Mixtures of Truncated Basis Functions
Description:

Learning, manipulation and evaluation of mixtures of truncated basis functions (MoTBFs), which include mixtures of polynomials (MOPs) and mixtures of truncated exponentials (MTEs). MoTBFs are a flexible framework for modelling hybrid Bayesian networks (I. Pérez-Bernabé, A. Salmerón, H. Langseth (2015) <doi:10.1007/978-3-319-20807-7_36>; H. Langseth, T.D. Nielsen, I. Pérez-Bernabé, A. Salmerón (2014) <doi:10.1016/j.ijar.2013.09.012>; I. Pérez-Bernabé, A. Fernández, R. Rumà , A. Salmerón (2016) <doi:10.1007/s10618-015-0429-7>). The package provides functionality for learning univariate, multivariate and conditional densities, with the possibility of incorporating prior knowledge. Structural learning of hybrid Bayesian networks is also provided. A set of useful tools is provided, including plotting, printing and likelihood evaluation. This package makes use of S3 objects, with two new classes called motbf and jointmotbf'.

r-ml-msbd 1.2.1
Propagated dependencies: r-foreach@1.5.2 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=ML.MSBD
Licenses: GPL 3
Build system: r
Synopsis: Maximum Likelihood Inference on Multi-State Trees
Description:

Inference of a multi-states birth-death model from a phylogeny, comprising a number of states N, birth and death rates for each state and on which edges each state appears. Inference is done using a hybrid approach: states are progressively added in a greedy approach. For a fixed number of states N the best model is selected via maximum likelihood. Reference: J. Barido-Sottani, T. G. Vaughan and T. Stadler (2018) <doi:10.1098/rsif.2018.0512>.

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-monoreg 2.1
Dependencies: gsl@2.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=monoreg
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Monotonic Regression Using a Marked Point Process Construction
Description:

An extended version of the nonparametric Bayesian monotonic regression procedure described in Saarela & Arjas (2011) <DOI:10.1111/j.1467-9469.2010.00716.x>, allowing for multiple additive monotonic components in the linear predictor, and time-to-event outcomes through case-base sampling. The extension and its applications, including estimation of absolute risks, are described in Saarela & Arjas (2015) <DOI:10.1111/sjos.12125>. The package also implements the nonparametric ordinal regression model described in Saarela, Rohrbeck & Arjas <DOI:10.1214/22-BA1310>.

r-mfpca 1.3-11
Propagated dependencies: r-plyr@1.8.9 r-mgcv@1.9-4 r-matrix@1.7-4 r-irlba@2.3.5.1 r-fundata@1.3-9 r-foreach@1.5.2 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/ClaraHapp/MFPCA
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Functional Principal Component Analysis for Data Observed on Different Dimensional Domains
Description:

Calculate a multivariate functional principal component analysis for data observed on different dimensional domains. The estimation algorithm relies on univariate basis expansions for each element of the multivariate functional data (Happ & Greven, 2018) <doi:10.1080/01621459.2016.1273115>. Multivariate and univariate functional data objects are represented by S4 classes for this type of data implemented in the package funData'. For more details on the general concepts of both packages and a case study, see Happ-Kurz (2020) <doi:10.18637/jss.v093.i05>.

r-mlpack 4.7.0
Propagated dependencies: r-rcppensmallen@0.3.10.0.1 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://www.mlpack.org/doc/user/bindings/r.html
Licenses: Modified BSD
Build system: r
Synopsis: 'Rcpp' Integration for the 'mlpack' Library
Description:

This package provides a fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) <doi:10.21105/joss.05026>.

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-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-mlmc 2.1.1
Propagated dependencies: r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mlmc.louisaslett.com/
Licenses: GPL 2
Build system: r
Synopsis: Multi-Level Monte Carlo
Description:

An implementation of MLMC (Multi-Level Monte Carlo), Giles (2008) <doi:10.1287/opre.1070.0496>, Heinrich (1998) <doi:10.1006/jcom.1998.0471>, for R. This package builds on the original Matlab and C++ implementations by Mike Giles to provide a full MLMC driver and example level samplers. Multi-core parallel sampling of levels is provided built-in.

r-mthapower 0.1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/aurora-mareviv/mthapower
Licenses: GPL 3
Build system: r
Synopsis: Sample Size and Power for Association Studies Involving Mitochondrial DNA Haplogroups
Description:

Calculate Sample Size and Power for Association Studies Involving Mitochondrial DNA Haplogroups. Based on formulae by Samuels et al. AJHG, 2006. 78(4):713-720. <DOI:10.1086/502682>.

r-mus 0.1.6
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MUS
Licenses: GPL 2+
Build system: r
Synopsis: Monetary Unit Sampling and Estimation Methods, Widely Used in Auditing
Description:

Sampling and evaluation methods to apply Monetary Unit Sampling (or in older literature Dollar Unit Sampling) during an audit of financial statements.

r-mstknnclust 0.3.2
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mstknnclust
Licenses: GPL 2
Build system: r
Synopsis: MST-kNN Clustering Algorithm
Description:

This package implements the MST-kNN clustering algorithm which was proposed by Inostroza-Ponta, M. (2008) <https://trove.nla.gov.au/work/28729389?selectedversion=NBD44634158>.

r-micropan 2.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-microseq@2.1.7 r-igraph@2.2.1 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=micropan
Licenses: GPL 2
Build system: r
Synopsis: Microbial Pan-Genome Analysis
Description:

This package provides a collection of functions for computations and visualizations of microbial pan-genomes.

r-mlergm 0.8.1
Propagated dependencies: r-stringr@1.6.0 r-statnet-common@4.12.0 r-sna@2.8 r-reshape2@1.4.5 r-plyr@1.8.9 r-network@1.19.0 r-matrix@1.7-4 r-lpsolve@5.6.23 r-ggplot2@4.0.1 r-ggally@2.4.0 r-ergm@4.12.0 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mlergm
Licenses: GPL 3
Build system: r
Synopsis: Multilevel Exponential-Family Random Graph Models
Description:

Estimates exponential-family random graph models for multilevel network data, assuming the multilevel structure is observed. The scope, at present, covers multilevel models where the set of nodes is nested within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods to estimate a variety of canonical or curved exponential family models for binary random graphs. MCMLE methods for curved exponential-family random graph models can be found in Hunter and Handcock (JCGS, 2006). The package supports parallel computing, and provides methods for assessing goodness-of-fit of models and visualization of networks.

r-meaanalysis 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-reshape2@1.4.5 r-readxl@1.4.5 r-readr@2.1.6 r-knitr@1.50 r-kableextra@1.4.0 r-janitor@2.2.1 r-ggplot2@4.0.1 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://egordon2.github.io/MEA-analysis-package/
Licenses: GPL 2+
Build system: r
Synopsis: Analyse and Visualise Multi Electrode Array Burst Data
Description:

Analyse and visualise multi electrode array data at the single electrode and whole well level, downstream of AxIS Navigator 3.6.2 Software processing. Compare bursting parameters between time intervals and recordings using the bar chart visualisation functions. Compatible with 12- and 24- well plates.

r-mycobacrvr 1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://mycobacteriarv.igib.res.in/download.html
Licenses: GPL 2
Build system: r
Synopsis: Integrative Immunoinformatics for Mycobacterial Diseases in R Platform
Description:

The mycobacrvR package contains utilities to provide detailed information for B cell and T cell epitopes for predicted adhesins from various servers such as ABCpred, Bcepred, Bimas, Propred, NetMHC and IEDB. Please refer the URL below to download data files (data_mycobacrvR.zip) used in functions of this package.

r-map2ncbi 1.5
Propagated dependencies: r-rentrez@1.2.4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=Map2NCBI
Licenses: GPL 2+
Build system: r
Synopsis: Mapping Markers to the Nearest Genomic Feature
Description:

Allows the user to generate a list of features (gene, pseudo, RNA, CDS, and/or UTR) directly from NCBI database for any species with a current build available. Option to save downloaded and formatted files is available, and the user can prioritize the feature list based on type and assembly builds present in the current build used. The user can then use the list of features generated or provide a list to map a set of markers (designed for SNP markers with a single base pair position available) to the closest feature based on the map build. This function does require map positions of the markers to be provided and the positions should be based on the build being queried through NCBI.

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Total results: 69112