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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-milr 0.4.1
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-piper@0.6.1.3 r-numderiv@2016.8-1.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/PingYangChen/milr
Licenses: Expat
Build system: r
Synopsis: Multiple-Instance Logistic Regression with LASSO Penalty
Description:

The multiple instance data set consists of many independent subjects (called bags) and each subject is composed of several components (called instances). The outcomes of such data set are binary or categorical responses, and, we can only observe the subject-level outcomes. For example, in manufacturing processes, a subject is labeled as "defective" if at least one of its own components is defective, and otherwise, is labeled as "non-defective". The milr package focuses on the predictive model for the multiple instance data set with binary outcomes and performs the maximum likelihood estimation with the Expectation-Maximization algorithm under the framework of logistic regression. Moreover, the LASSO penalty is attached to the likelihood function for simultaneous parameter estimation and variable selection.

r-muerelativerisk 0.1.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mueRelativeRisk
Licenses: GPL 3
Build system: r
Synopsis: Relative Risk Based on the Ratio of Median Unbiased Estimates
Description:

This package implements an estimator for relative risk based on the median unbiased estimator. The relative risk estimator is well defined and performs satisfactorily for a wide range of data configurations. The details of the method are available in Carter et al (2010) <doi:10.1111/j.1467-9876.2010.00711.x>.

r-matchmulti 1.1.14
Propagated dependencies: r-weights@1.1.2 r-sandwich@3.1-1 r-rlang@1.1.6 r-rcbsubset@1.1.7 r-plyr@1.8.9 r-mvtnorm@1.3-3 r-mass@7.3-65 r-magrittr@2.0.4 r-dplyr@1.1.4 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=matchMulti
Licenses: Expat
Build system: r
Synopsis: Optimal Multilevel Matching using a Network Algorithm
Description:

This package performs multilevel matches for data with cluster- level treatments and individual-level outcomes using a network optimization algorithm. Functions for checking balance at the cluster and individual levels are also provided, as are methods for permutation-inference-based outcome analysis. Details in Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>. The optmatch package, which is useful for running many of the provided functions, may be downloaded from Github at <https://github.com/markmfredrickson/optmatch> if not available on CRAN.

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-metasem 1.5.0
Propagated dependencies: r-openmx@2.22.10 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-mass@7.3-65 r-lavaan@0.6-20 r-ellipse@0.5.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/mikewlcheung/metasem
Licenses: GPL 2+
Build system: r
Synopsis: Meta-Analysis using Structural Equation Modeling
Description:

This package provides a collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the OpenMx and lavaan packages. It also implements various procedures to perform meta-analytic structural equation modeling on the correlation and covariance matrices, see Cheung (2015) <doi:10.3389/fpsyg.2014.01521>.

r-mb 0.1.1
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MB
Licenses: GPL 3
Build system: r
Synopsis: The Use of Marginal Distributions in Conditional Forecasting
Description:

This package provides a new way to predict time series using the marginal distribution table in the absence of the significance of traditional models.

r-meditations 1.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/jacobkap/meditations
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Prints a Random Quote from Marcus Aurelius' Book Meditations
Description:

Prints a random quote from Marcus Aurelius book Meditations.

r-metadynminer 0.1.7
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://metadynamics.cz/metadynminer/
Licenses: GPL 3
Build system: r
Synopsis: Tools to Read, Analyze and Visualize Metadynamics HILLS Files from 'Plumed'
Description:

Metadynamics is a state of the art biomolecular simulation technique. Plumed Tribello, G.A. et al. (2014) <doi:10.1016/j.cpc.2013.09.018> program makes it possible to perform metadynamics using various simulation codes. The results of metadynamics done in Plumed can be analyzed by metadynminer'. The package metadynminer reads 1D and 2D metadynamics hills files from Plumed package. It uses a fast algorithm by Hosek, P. and Spiwok, V. (2016) <doi:10.1016/j.cpc.2015.08.037> to calculate a free energy surface from hills. Minima can be located and plotted on the free energy surface. Transition states can be analyzed by Nudged Elastic Band method by Henkelman, G. and Jonsson, H. (2000) <doi:10.1063/1.1323224>. Free energy surfaces, minima and transition paths can be plotted to produce publication quality images.

r-matchfeat 1.0
Propagated dependencies: r-foreach@1.5.2 r-clue@0.3-66
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=matchFeat
Licenses: GPL 2
Build system: r
Synopsis: One-to-One Feature Matching
Description:

Statistical methods to match feature vectors between multiple datasets in a one-to-one fashion. Given a fixed number of classes/distributions, for each unit, exactly one vector of each class is observed without label. The goal is to label the feature vectors using each label exactly once so to produce the best match across datasets, e.g. by minimizing the variability within classes. Statistical solutions based on empirical loss functions and probabilistic modeling are provided. The Gurobi software and its R interface package are required for one of the package functions (match.2x()) and can be obtained at <https://www.gurobi.com/> (free academic license). For more details, refer to Degras (2022) <doi:10.1080/10618600.2022.2074429> "Scalable feature matching for large data collections" and Bandelt, Maas, and Spieksma (2004) <doi:10.1057/palgrave.jors.2601723> "Local search heuristics for multi-index assignment problems with decomposable costs".

r-multibias 1.7.2
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 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://github.com/pcbrendel/multibias
Licenses: Expat
Build system: r
Synopsis: Multiple Bias Analysis in Causal Inference
Description:

Quantify the causal effect of a binary exposure on a binary outcome with adjustment for multiple biases. The functions can simultaneously adjust for any combination of uncontrolled confounding, exposure/outcome misclassification, and selection bias. The underlying method generalizes the concept of combining inverse probability of selection weighting with predictive value weighting. Simultaneous multi-bias analysis can be used to enhance the validity and transparency of real-world evidence obtained from observational, longitudinal studies. Based on the work from Paul Brendel, Aracelis Torres, and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.

r-mlf 1.2.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: http://mlf-project.us/
Licenses: GPL 2
Build system: r
Synopsis: Machine Learning Foundations
Description:

Offers a gentle introduction to machine learning concepts for practitioners with a statistical pedigree: decomposition of model error (bias-variance trade-off), nonlinear correlations, information theory and functional permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007). <doi:10.1214/009053607000000505>. Reshef DN, Reshef YA, Finucane HK, Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC. (2011). <doi:10.1126/science.1205438>.

r-matskew 0.1.5
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MatSkew
Licenses: GPL 2+
Build system: r
Synopsis: Matrix Skew-T Parameter Estimation
Description:

This package performs matrix skew-t parameter estimation, Gallaugher and McNicholas (2017) <doi: 10.1002/sta4.143>.

r-mhmmbayes 1.1.1
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://CRAN.R-project.org/package=mHMMbayes
Licenses: GPL 3
Build system: r
Synopsis: Multilevel Hidden Markov Models Using Bayesian Estimation
Description:

An implementation of the multilevel (also known as mixed or random effects) hidden Markov model using Bayesian estimation in R. The multilevel hidden Markov model (HMM) is a generalization of the well-known hidden Markov model, for the latter see Rabiner (1989) <doi:10.1109/5.18626>. The multilevel HMM is tailored to accommodate (intense) longitudinal data of multiple individuals simultaneously, see e.g., de Haan-Rietdijk et al. <doi:10.1080/00273171.2017.1370364>. Using a multilevel framework, we allow for heterogeneity in the model parameters (transition probability matrix and conditional distribution), while estimating one overall HMM. The model can be fitted on multivariate data with either a categorical, normal, or Poisson distribution, and include individual level covariates (allowing for e.g., group comparisons on model parameters). Parameters are estimated using Bayesian estimation utilizing the forward-backward recursion within a hybrid Metropolis within Gibbs sampler. Missing data (NA) in the dependent variables is accommodated assuming MAR. The package also includes various visualization options, a function to simulate data, and a function to obtain the most likely hidden state sequence for each individual using the Viterbi algorithm.

r-mded 0.1-2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mded
Licenses: CC0
Build system: r
Synopsis: Measuring the Difference Between Two Empirical Distributions
Description:

This package provides a function for measuring the difference between two independent or non-independent empirical distributions and returning a significance level of the difference.

r-md4r 0.5.2.0
Propagated dependencies: r-tibble@3.3.0 r-textutils@0.4-3 r-stringr@1.6.0 r-rcpp@1.1.0 r-purrr@1.2.0 r-glue@1.8.0 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=md4r
Licenses: Expat
Build system: r
Synopsis: Markdown Parser Implemented using the 'MD4C' Library
Description:

This package provides an R wrapper for the MD4C (Markdown for C') library. Functions exist for parsing markdown ('CommonMark compliant) along with support for other common markdown extensions (e.g. GitHub flavored markdown, LaTeX equation support, etc.). The package also provides a number of higher level functions for exploring and manipulating markdown abstract syntax trees as well as translating and displaying the documents.

r-mvquad 1.0-8
Propagated dependencies: r-statmod@1.5.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/weiserc/mvQuad/
Licenses: GPL 3
Build system: r
Synopsis: Methods for Multivariate Quadrature
Description:

This package provides methods to construct multivariate grids, which can be used for multivariate quadrature. This grids can be based on different quadrature rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction of the multidimensional grid the product-rule or the combination- technique can be applied.

r-mdscore 0.1-3
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mdscore
Licenses: GPL 2+
Build system: r
Synopsis: Improved Score Tests for Generalized Linear Models
Description:

This package provides a set of functions to obtain modified score test for generalized linear models.

r-muckrock 0.1.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/Ironholds/muckrock/
Licenses: FSDG-compatible
Build system: r
Synopsis: Data on Freedom of Information Act Requests
Description:

This package provides a data package containing public domain information on requests made by the MuckRock (https://www.muckrock.com/) project under the United States Freedom of Information Act.

r-modest 0.3-1
Propagated dependencies: r-shinybs@0.61.1 r-shiny@1.11.1 r-rhandsontable@0.3.8 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=modest
Licenses: GPL 2
Build system: r
Synopsis: Model-Based Dose-Escalation Trials
Description:

User-friendly Shiny apps for designing and evaluating phase I cancer clinical trials, with the aim to estimate the maximum tolerated dose (MTD) of a novel drug, using a Bayesian decision procedure based on logistic regression.

r-multiroc 1.1.1
Propagated dependencies: r-zoo@1.8-14 r-magrittr@2.0.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=multiROC
Licenses: GPL 3
Build system: r
Synopsis: Calculating and Visualizing ROC and PR Curves Across Multi-Class Classifications
Description:

This package provides tools to solve real-world problems with multiple classes classifications by computing the areas under ROC and PR curve via micro-averaging and macro-averaging. The vignettes of this package can be found via <https://github.com/WandeRum/multiROC>. The methodology is described in V. Van Asch (2013) <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and Pedregosa et al. (2011) <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.

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-mbnmatime 0.2.6
Dependencies: jags@4.3.1
Propagated dependencies: r-zoo@1.8-14 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-png@0.1-8 r-magrittr@2.0.4 r-lspline@1.0-0 r-knitr@1.50 r-igraph@2.2.1 r-gridextra@2.3 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-dplyr@1.1.4 r-crayon@1.5.3 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://hugaped.github.io/MBNMAtime/
Licenses: GPL 3
Build system: r
Synopsis: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
Description:

Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) <doi:10.1002/jrsm.1351>. The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and 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.

r-mapmisc 2.1.2
Propagated dependencies: r-terra@1.8-86 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=mapmisc
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Utilities for Producing Maps
Description:

This package provides a minimal, light-weight set of tools for producing nice looking maps in R, with support for map projections. See Brown (2016) <doi:10.32614/RJ-2016-005>.

r-magui 4.0
Propagated dependencies: r-biobase@2.70.0
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=maGUI
Licenses: GPL 2
Build system: r
Synopsis: Graphical User Interface for Microarray Data Analysis and Annotation
Description:

This package provides a comprehensive graphical user interface for analysis of Affymetrix, Agilent, Illumina, Nimblegen and other microarray data. It can perform miscellaneous tasks such as gene set enrichment and test analyses, identifying gene symbols and building co-expression network. It can also estimate sample size for atleast two-fold expression change. The current version is its slenderized form for compatable and flexible implementation.

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