_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-minipdf 0.2.7
Propagated dependencies: r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/coolbutuseless/minipdf
Licenses: Expat
Synopsis: PDF Document Creator
Description:

PDF is a standard file format for laying out text and images in documents. At its core, these documents are sequences of objects defined in plain text. This package allows for the creation of PDF documents at a very low level without any library or graphics device dependencies.

r-mns 1.0
Propagated dependencies: r-mvtnorm@1.3-3 r-mass@7.3-65 r-igraph@2.2.1 r-glmnet@4.1-10 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=MNS
Licenses: GPL 2
Synopsis: Mixed Neighbourhood Selection
Description:

An implementation of the mixed neighbourhood selection (MNS) algorithm. The MNS algorithm can be used to estimate multiple related precision matrices. In particular, the motivation behind this work was driven by the need to understand functional connectivity networks across multiple subjects. This package also contains an implementation of a novel algorithm through which to simulate multiple related precision matrices which exhibit properties frequently reported in neuroimaging analysis.

r-mlxr 4.2.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://simulx.webpopix.org
Licenses: FreeBSD
Synopsis: Simulation of Longitudinal Data
Description:

Simulation and visualization of complex models for longitudinal data. The models are encoded using the model coding language Mlxtran and automatically converted into C++ codes. That allows one to implement very easily complex ODE-based models and complex statistical models, including mixed effects models, for continuous, count, categorical, and time-to-event data.

r-mgarchbekk 0.0.5
Propagated dependencies: r-tseries@0.10-58 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/vst/mgarchBEKK/
Licenses: GPL 3
Synopsis: Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR) Processes
Description:

Procedures to simulate, estimate and diagnose MGARCH processes of BEKK and multivariate GJR (bivariate asymmetric GARCH model) specification.

r-morphemepiece-data 1.2.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/macmillancontentscience/morphemepiece.data
Licenses: FSDG-compatible
Synopsis: Data for Morpheme Tokenization
Description:

This package provides data about morphemes, the smallest units of meaning in a language.

r-modmax 1.1
Propagated dependencies: r-igraph@2.2.1 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=modMax
Licenses: GPL 2
Synopsis: Community Structure Detection via Modularity Maximization
Description:

The algorithms implemented here are used to detect the community structure of a network. These algorithms follow different approaches, but are all based on the concept of modularity maximization.

r-matchlinreg 0.8.1
Propagated dependencies: r-matching@4.10-15 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MatchLinReg
Licenses: GPL 2+
Synopsis: Combining Matching and Linear Regression for Causal Inference
Description:

Core functions as well as diagnostic and calibration tools for combining matching and linear regression for causal inference in observational studies.

r-mapbayr 0.10.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-mrgsolve@1.6.1 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/FelicienLL/mapbayr
Licenses: GPL 3
Synopsis: MAP-Bayesian Estimation of PK Parameters
Description:

This package performs maximum a posteriori Bayesian estimation of individual pharmacokinetic parameters from a model defined in mrgsolve', typically for model-based therapeutic drug monitoring. Internally computes an objective function value from model and data, performs optimization and returns predictions in a convenient format. The performance of the package was described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.

r-minidown 0.4.0
Propagated dependencies: r-xfun@0.54 r-sass@0.4.10 r-rmarkdown@2.30 r-mime@0.13 r-knitr@1.50 r-katex@1.5.0 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://minidown.atusy.net
Licenses: Expat
Synopsis: Create Simple Yet Powerful HTML Documents with Light Weight CSS Frameworks
Description:

Create minimal, responsive, and style-agnostic HTML documents with the lightweight CSS frameworks such as sakura', Water.css', and spcss'. Powerful features include table of contents floating as a sidebar, folding codes and results, and more.

r-manydata 1.1.3
Propagated dependencies: r-tidyr@1.3.1 r-text2vec@0.6.4 r-stringr@1.6.0 r-remotes@2.5.0 r-purrr@1.2.0 r-messydates@0.5.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-dtplyr@1.3.2 r-dplyr@1.1.4 r-cli@3.6.5 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://www.manydata.ch/
Licenses: FSDG-compatible
Synopsis: Many Global Governance Datacubes
Description:

This is the core package offering a portal to the many packages universe. It includes functions to help researchers access, work across, and maintain ensembles of datasets on global governance called datacubes.

r-multidimbio 1.2.5
Propagated dependencies: r-rcolorbrewer@1.1-3 r-pcamethods@2.2.0 r-misc3d@0.9-1 r-mass@7.3-65 r-lme4@1.1-37 r-gridgraphics@0.5-1 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=multiDimBio
Licenses: GPL 3+
Synopsis: Multivariate Analysis and Visualization for Biological Data
Description:

Code to support a systems biology research program from inception through publication. The methods focus on dimension reduction approaches to detect patterns in complex, multivariate experimental data and places an emphasis on informative visualizations. The goal for this project is to create a package that will evolve over time, thereby remaining relevant and reflective of current methods and techniques. As a result, we encourage suggested additions to the package, both methodological and graphical.

r-multinttestfunc 0.3.0
Propagated dependencies: r-pracma@2.4.6 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/KlausHerrmann/multIntTestFunc
Licenses: Expat
Synopsis: Provides Test Functions for Multivariate Integration
Description:

This package provides implementations of functions that can be used to test multivariate integration routines. The package covers six different integration domains (unit hypercube, unit ball, unit sphere, standard simplex, non-negative real numbers and R^n). For each domain several functions with different properties (smooth, non-differentiable, ...) are available. The functions are available in all dimensions n >= 1. For each function the exact value of the integral is known and implemented to allow testing the accuracy of multivariate integration routines. Details on the available test functions can be found at on the development website.

r-multideggs 1.1.1
Propagated dependencies: r-visnetwork@2.1.4 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-sfsmisc@1.1-23 r-rmarkdown@2.30 r-pbmcapply@1.5.1 r-pbapply@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-knitr@1.50 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/elisabettasciacca/multiDEGGs/
Licenses: GPL 3
Synopsis: Multi-Omic Differentially Expressed Gene-Gene Pairs
Description:

This package performs multi-omic differential network analysis by revealing differential interactions between molecular entities (genes, proteins, transcription factors, or other biomolecules) across the omic datasets provided. For each omic dataset, a differential network is constructed where links represent statistically significant differential interactions between entities. These networks are then integrated into a comprehensive visualization using distinct colors to distinguish interactions from different omic layers. This unified display allows interactive exploration of cross-omic patterns, such as differential interactions present at both transcript and protein levels. For each link, users can access differential statistical significance metrics (p values or adjusted p values, calculated via robust or traditional linear regression with interaction term) and differential regression plots. The methods implemented in this package are described in Sciacca et al. (2023) <doi:10.1093/bioinformatics/btad192>.

r-meddatasets 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/lightbluetitan/meddatasets
Licenses: GPL 3
Synopsis: Comprehensive Medical, Disease, Treatment, and Drug Datasets
Description:

This package provides an extensive collection of datasets related to medicine, diseases, treatments, drugs, and public health. This package covers topics such as drug effectiveness, vaccine trials, survival rates, infectious disease outbreaks, and medical treatments. The included datasets span various health conditions, including AIDS, cancer, bacterial infections, and COVID-19, along with information on pharmaceuticals and vaccines. These datasets are sourced from the R ecosystem and other R packages, remaining unaltered to ensure data integrity. This package serves as a valuable resource for researchers, analysts, and healthcare professionals interested in conducting medical and public health data analysis in R.

r-mapstats 3.2
Propagated dependencies: r-ttutils@1.0-1.1 r-survey@4.4-8 r-sp@2.2-0 r-sf@1.0-23 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-lattice@0.22-7 r-hmisc@5.2-4 r-colorspace@2.1-2 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mapStats
Licenses: GPL 2+
Synopsis: Geographic Display of Survey Data Statistics
Description:

Automated calculation and visualization of survey data statistics on a color-coded (choropleth) map.

r-multibiplotgui 1.1
Propagated dependencies: r-tkrplot@0.0-30 r-tcltk2@1.6.1 r-shapes@1.2.8 r-rgl@1.3.31 r-plotrix@3.8-13 r-matrix@1.7-4 r-mass@7.3-65 r-dendroextras@0.2.3 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=multibiplotGUI
Licenses: GPL 2+
Synopsis: Multibiplot Analysis in R
Description:

This package provides a GUI with which users can construct and interact with Multibiplot Analysis.

r-mbsp 5.0
Propagated dependencies: r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-gigrvg@0.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MBSP
Licenses: GPL 3
Synopsis: Multivariate Bayesian Model with Shrinkage Priors
Description:

Gibbs sampler for fitting multivariate Bayesian linear regression with shrinkage priors (MBSP), using the three parameter beta normal family. The method is described in Bai and Ghosh (2018) <doi:10.1016/j.jmva.2018.04.010>.

r-mederrrank 0.1.0
Propagated dependencies: r-numderiv@2016.8-1.1 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mederrRank
Licenses: GPL 2+ FSDG-compatible
Synopsis: Bayesian Methods for Identifying the Most Harmful Medication Errors
Description:

Two distinct but related statistical approaches to the problem of identifying the combinations of medication error characteristics that are more likely to result in harm are implemented in this package: 1) a Bayesian hierarchical model with optimal Bayesian ranking on the log odds of harm, and 2) an empirical Bayes model that estimates the ratio of the observed count of harm to the count that would be expected if error characteristics and harm were independent. In addition, for the Bayesian hierarchical model, the package provides functions to assess the sensitivity of results to different specifications of the random effects distributions.

r-multinomineq 0.2.6
Propagated dependencies: r-rglpk@0.6-5.1 r-rcppxptrutils@0.1.3 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-quadprog@1.5-8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/danheck/multinomineq
Licenses: GPL 3
Synopsis: Bayesian Inference for Multinomial Models with Inequality Constraints
Description:

This package implements Gibbs sampling and Bayes factors for multinomial models with linear inequality constraints on the vector of probability parameters. As special cases, the model class includes models that predict a linear order of binomial probabilities (e.g., p[1] < p[2] < p[3] < .50) and mixture models assuming that the parameter vector p must be inside the convex hull of a finite number of predicted patterns (i.e., vertices). A formal definition of inequality-constrained multinomial models and the implemented computational methods is provided in: Heck, D.W., & Davis-Stober, C.P. (2019). Multinomial models with linear inequality constraints: Overview and improvements of computational methods for Bayesian inference. Journal of Mathematical Psychology, 91, 70-87. <doi:10.1016/j.jmp.2019.03.004>. Inequality-constrained multinomial models have applications in the area of judgment and decision making to fit and test random utility models (Regenwetter, M., Dana, J., & Davis-Stober, C.P. (2011). Transitivity of preferences. Psychological Review, 118, 42â 56, <doi:10.1037/a0021150>) or to perform outcome-based strategy classification to select the decision strategy that provides the best account for a vector of observed choice frequencies (Heck, D.W., Hilbig, B.E., & Moshagen, M. (2017). From information processing to decisions: Formalizing and comparing probabilistic choice models. Cognitive Psychology, 96, 26â 40. <doi:10.1016/j.cogpsych.2017.05.003>).

r-mvgps 1.2.2
Propagated dependencies: r-weightit@1.5.1 r-sp@2.2-0 r-rdpack@2.6.4 r-matrixnormal@0.1.1 r-mass@7.3-65 r-geometry@0.5.2 r-gbm@2.2.2 r-cobalt@4.6.1 r-cbps@0.24
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/williazo/mvGPS
Licenses: Expat
Synopsis: Causal Inference using Multivariate Generalized Propensity Score
Description:

This package provides methods for estimating and utilizing the multivariate generalized propensity score (mvGPS) for multiple continuous exposures described in Williams, J.R, and Crespi, C.M. (2020) <arxiv:2008.13767>. The methods allow estimation of a dose-response surface relating the joint distribution of multiple continuous exposure variables to an outcome. Weights are constructed assuming a multivariate normal density for the marginal and conditional distribution of exposures given a set of confounders. Confounders can be different for different exposure variables. The weights are designed to achieve balance across all exposure dimensions and can be used to estimate dose-response surfaces.

r-mpmsim 3.2.1
Propagated dependencies: r-reshape@0.8.10 r-rcompadre@1.4.0 r-rage@1.8.0 r-popdemo@1.3-2 r-popbio@2.8 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://jonesor.github.io/mpmsim/
Licenses: CC-BY-SA 4.0
Synopsis: Simulation of Matrix Population Models with Defined Life History Characteristics
Description:

Allows users to simulate matrix population models with particular characteristics based on aspects of life history such as mortality trajectories and fertility trajectories. Also allows the exploration of sampling error due to small sample size.

r-nimbleapt 1.0.7
Propagated dependencies: r-nimble@1.4.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/DRJP/nimbleAPT
Licenses: Modified BSD
Synopsis: Adaptive Parallel Tempering for 'NIMBLE'
Description:

This package provides functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted from Lacki & Miasojedow (2016) <DOI:10.1007/s11222-015-9579-0> and Miasojedow, Moulines and Vihola (2013) <DOI:10.1080/10618600.2013.778779>.

r-nimblenobounds 1.0.3
Propagated dependencies: r-nimble@1.4.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/DRJP/nimbleNoBounds
Licenses: Modified BSD
Synopsis: Transformed Distributions for Improved MCMC Efficiency
Description:

This package provides a collection of common univariate bounded probability distributions transformed to the unbounded real line, for the purpose of increased MCMC efficiency.

r-nntbiomarker 0.29.11
Propagated dependencies: r-xtable@1.8-4 r-stringr@1.6.0 r-shiny@1.11.1 r-mvbutils@2.8.232 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NNTbiomarker
Licenses: GPL 3
Synopsis: Calculate Design Parameters for Biomarker Validation Studies
Description:

Helps a clinical trial team discuss the clinical goals of a well-defined biomarker with a diagnostic, staging, prognostic, or predictive purpose. From this discussion will come a statistical plan for a (non-randomized) validation trial. Both prospective and retrospective trials are supported. In a specific focused discussion, investigators should determine the range of "discomfort" for the NNT, number needed to treat. The meaning of the discomfort range, [NNTlower, NNTupper], is that within this range most physicians would feel discomfort either in treating or withholding treatment. A pair of NNT values bracketing that range, NNTpos and NNTneg, become the targets of the study's design. If the trial can demonstrate that a positive biomarker test yields an NNT less than NNTlower, and that a negative biomarker test yields an NNT less than NNTlower, then the biomarker may be useful for patients. A highlight of the package is visualization of a "contra-Bayes" theorem, which produces criteria for retrospective case-controls studies.

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Total results: 68249