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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-morphomenses 1.0.3
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: <https://github.com/ClancyLabUIUC/moRphomenses>
Licenses: GPL 3+
Build system: r
Synopsis: Geometric Morphometric Tools to Align, Scale, and Compare "Shape" of Menstrual Cycle Hormones
Description:

Mitteroecker & Gunz (2009) <doi:10.1007/s11692-009-9055-x> describe how geometric morphometric methods allow researchers to quantify the size and shape of physical biological structures. We provide tools to extend geometric morphometric principles to the study of non-physical structures, hormone profiles, as outlined in Ehrlich et al (2021) <doi:10.1002/ajpa.24514>. Easily transform daily measures into multivariate landmark-based data. Includes custom functions to apply multivariate methods for data exploration as well as hypothesis testing. Also includes shiny web app to streamline data exploration. Developed to study menstrual cycle hormones but functions have been generalized and should be applicable to any biomarker over any time period.

r-metainc 0.2-1
Propagated dependencies: r-meta@8.2-1 r-ggplot2@4.0.1 r-confintr@1.0.2
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=metainc
Licenses: GPL 2+
Build system: r
Synopsis: Assessment of Inconsistency in Meta-Analysis using Decision Thresholds
Description:

Assessment of inconsistency in meta-analysis by calculating the Decision Inconsistency index (DI) and the Across-Studies Inconsistency (ASI) index. These indices quantify inconsistency taking into account outcome-level decision thresholds.

r-mkle 1.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=MKLE
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Maximum Kernel Likelihood Estimation
Description:

Package for fast computation of the maximum kernel likelihood estimator (mkle).

r-mexbrewer 0.0.2
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://github.com/paezha/MexBrewer
Licenses: Expat
Build system: r
Synopsis: Color Palettes Inspired by Works of Mexican Painters and Muralists
Description:

Color palettes inspired by the works of Mexican painters and muralists. The package includes functions that return vectors of colors and also functions to use color and fill scales in ggplot2 visualizations.

r-modifiedmk 1.6
Propagated dependencies: 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=modifiedmk
Licenses: AGPL 3
Build system: r
Synopsis: Modified Versions of Mann Kendall and Spearman's Rho Trend Tests
Description:

Power of non-parametric Mann-Kendall test and Spearmanâ s Rho test is highly influenced by serially correlated data. To address this issue, trend tests may be applied on the modified versions of the time series data by Block Bootstrapping (BBS), Prewhitening (PW) , Trend Free Prewhitening (TFPW), Bias Corrected Prewhitening and Variance Correction Approach by calculating effective sample size. Mann, H. B. (1945).<doi:10.1017/CBO9781107415324.004>. Kendall, M. (1975). Multivariate analysis. Charles Griffin&Company Ltd,. sen, P. K. (1968).<doi:10.2307/2285891>. à nöz, B., & Bayazit, M. (2012) <doi:10.1002/hyp.8438>. Hamed, K. H. (2009).<doi:10.1016/j.jhydrol.2009.01.040>. Yue, S., & Wang, C. Y. (2002) <doi:10.1029/2001WR000861>. Yue, S., Pilon, P., Phinney, B., & Cavadias, G. (2002) <doi:10.1002/hyp.1095>. Hamed, K. H., & Ramachandra Rao, A. (1998) <doi:10.1016/S0022-1694(97)00125-X>. Yue, S., & Wang, C. Y. (2004) <doi:10.1023/B:WARM.0000043140.61082.60>.

r-nbr 0.1.5
Propagated dependencies: r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NBR
Licenses: GPL 3+
Build system: r
Synopsis: Network-Based R-Statistics using Mixed Effects Models
Description:

An implementation of network-based statistics in R using mixed effects models. Theoretical background for Network-Based Statistics can be found in Zalesky et al. (2010) <doi:10.1016/j.neuroimage.2010.06.041>. For Mixed Effects Models check the R package <https://CRAN.R-project.org/package=nlme>.

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
Build system: r
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-nphpower 1.1.0
Propagated dependencies: r-zoo@1.8-14 r-survival@3.8-3 r-mvtnorm@1.3-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/hcheng99/nphPower
Licenses: GPL 2+
Build system: r
Synopsis: Sample Size Calculation under Non-Proportional Hazards
Description:

This package performs combination tests and sample size calculation for fixed design with survival endpoints using combination tests under either proportional hazards or non-proportional hazards. The combination tests include maximum weighted log-rank test and projection test. The sample size calculation procedure is very flexible, allowing for user-defined hazard ratio function and considering various trial conditions like staggered entry, drop-out etc. The sample size calculation also applies to various cure models such as proportional hazards cure model, cure model with (random) delayed treatments effects. Trial simulation function is also provided to facilitate the empirical power calculation. The references for projection test and maximum weighted logrank test include Brendel et al. (2014) <doi:10.1111/sjos.12059> and Cheng and He (2021) <arXiv:2110.03833>. The references for sample size calculation under proportional hazard include Schoenfeld (1981) <doi:10.1093/biomet/68.1.316> and Freedman (1982) <doi:10.1002/sim.4780010204>. The references for calculation under non-proportional hazards include Lakatos (1988) <doi:10.2307/2531910> and Cheng and He (2023) <doi:10.1002/bimj.202100403>.

r-nfl4th 1.0.5
Propagated dependencies: r-xgboost@1.7.11.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-nflreadr@1.5.0 r-nflfastr@5.2.0 r-mgcv@1.9-4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.nfl4th.com/
Licenses: Expat
Build system: r
Synopsis: Functions to Calculate Optimal Fourth Down Decisions in the National Football League
Description:

This package provides a set of functions to estimate outcomes of fourth down plays in the National Football League and obtain fourth down plays from <https://www.nfl.com/> and <https://www.espn.com/>.

r-nma 3.1-1
Propagated dependencies: r-stringr@1.6.0 r-nleqslv@3.3.5 r-metafor@4.8-0 r-mass@7.3-65 r-ggplot2@4.0.1 r-forestplot@3.1.7
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nomahi/NMA
Licenses: GPL 3
Build system: r
Synopsis: Network Meta-Analysis Based on Multivariate Meta-Analysis and Meta-Regression Models
Description:

Network meta-analysis tools based on contrast-based approach using the multivariate meta-analysis and meta-regression models (Noma et al. (2025) <doi:10.1101/2025.09.15.25335823>). Comprehensive analysis tools for network meta-analysis and meta-regression (e.g., synthesis analysis, ranking analysis, and creating league table) are available through simple commands. For inconsistency assessment, the local and global inconsistency tests based on the Higgins design-by-treatment interaction model are available. In addition, the side-splitting methods and Jackson's random inconsistency model can be applied. Standard graphical tools for network meta-analysis, including network plots, ranked forest plots, and transitivity analyses, are also provided. For the synthesis analyses, the Noma-Hamura's improved REML (restricted maximum likelihood)-based methods (Noma et al. (2023) <doi:10.1002/jrsm.1652> <doi:10.1002/jrsm.1651>) are adopted as the default methods.

r-nimbleecology 0.5.0
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/nimble-dev/nimbleEcology
Licenses: GPL 3
Build system: r
Synopsis: Distributions for Ecological Models in 'nimble'
Description:

Common ecological distributions for nimble models in the form of nimbleFunction objects. Includes Cormack-Jolly-Seber, occupancy, dynamic occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models. (Jolly (1965) <DOI: 10.2307/2333826>, Seber (1965) <DOI: 10.2307/2333827>, Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).

r-netda 0.2.0
Propagated dependencies: r-glasso@1.11
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NetDA
Licenses: GPL 2
Build system: r
Synopsis: Network-Based Discriminant Analysis Subject to Multi-Label Classes
Description:

Implementation of discriminant analysis with network structures in predictors accommodated to do classification and prediction.

r-nmw 0.1.5
Propagated dependencies: r-numderiv@2016.8-1.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nmw
Licenses: GPL 3
Build system: r
Synopsis: Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics
Description:

This shows how NONMEM(R) software works. NONMEM's classical estimation methods like First Order(FO) approximation', First Order Conditional Estimation(FOCE)', and Laplacian approximation are explained.

r-natural 0.9.0
Propagated dependencies: r-matrix@1.7-4 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://arxiv.org/abs/1712.02412
Licenses: GPL 3
Build system: r
Synopsis: Estimating the Error Variance in a High-Dimensional Linear Model
Description:

Implementation of the two error variance estimation methods in high-dimensional linear models of Yu, Bien (2017) <arXiv:1712.02412>.

r-nlsylinks 2.2.3
Propagated dependencies: r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nlsy-links.github.io/NlsyLinks/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Utilities and Kinship Information for Research with the NLSY
Description:

Utilities and kinship information for behavior genetics and developmental research using the National Longitudinal Survey of Youth (NLSY; <https://www.nlsinfo.org/>).

r-nycflights23 0.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://moderndive.github.io/nycflights23/
Licenses: CC0
Build system: r
Synopsis: Flights and Other Useful Metadata for NYC Outbound Flights in 2023
Description:

Updating the now 10-year-old nycflights13 data package. It contains information about all flights that departed from the three main New York City airports in 2023 and metadata on airlines, airports, weather, and planes.

r-nflseedr 2.0.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progressr@0.18.0 r-nflreadr@1.5.0 r-lifecycle@1.0.4 r-gsubfn@0.7 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nflseedr.com
Licenses: Expat
Build system: r
Synopsis: Functions to Efficiently Simulate and Evaluate NFL Seasons
Description:

This package provides a set of functions to simulate National Football League seasons including the sophisticated tie-breaking procedures.

r-normalityassessment 0.1.1
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7 r-shinybs@0.61.1 r-shinyalert@3.1.0 r-shiny@1.11.1 r-rmatio@0.19.0 r-rio@1.2.4 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/ccasement/NormalityAssessment
Licenses: Expat
Build system: r
Synopsis: Graphical User Interface for Testing Normality Visually
Description:

Package including an interactive Shiny application for testing normality visually.

r-nscancor 0.7.0-6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://sigg-iten.ch/research/
Licenses: GPL 2+
Build system: r
Synopsis: Non-Negative and Sparse CCA
Description:

Two implementations of canonical correlation analysis (CCA) that are based on iterated regression. By choosing the appropriate regression algorithm for each data domain, it is possible to enforce sparsity, non-negativity or other kinds of constraints on the projection vectors. Multiple canonical variables are computed sequentially using a generalized deflation scheme, where the additional correlation not explained by previous variables is maximized. nscancor() is used to analyze paired data from two domains, and has the same interface as cancor() from the stats package (plus some extra parameters). mcancor() is appropriate for analyzing data from three or more domains. See <https://sigg-iten.ch/learningbits/2014/01/20/canonical-correlation-analysis-under-constraints/> and Sigg et al. (2007) <doi:10.1109/MLSP.2007.4414315> for more details.

r-newdistns 2.1
Propagated dependencies: r-adequacymodel@2.0.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=Newdistns
Licenses: GPL 2+
Build system: r
Synopsis: Computes Pdf, Cdf, Quantile and Random Numbers, Measures of Inference for 19 General Families of Distributions
Description:

Computes the probability density function, cumulative distribution function, quantile function, random numbers and measures of inference for the following general families of distributions (each family defined in terms of an arbitrary cdf G): Marshall Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions, beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions, exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modified beta G distributions, and exponentiated exponential Poisson G distributions.

r-numberofalleles 1.0.1
Propagated dependencies: r-ribd@1.7.1 r-rcpp@1.1.0 r-pedtools@2.10.0 r-partitions@1.10-9
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=numberofalleles
Licenses: GPL 2+
Build system: r
Synopsis: Compute the Probability Distribution of the Number of Alleles in a DNA Mixture
Description:

The number of distinct alleles observed in a DNA mixture is informative of the number of contributors to the mixture. The package provides methods for computing the probability distribution of the number of distinct alleles in a mixture for a given set of allele frequencies. The mixture contributors may be related according to a provided pedigree.

r-nifti-pbcor 1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nifti.pbcor
Licenses: FSDG-compatible
Build system: r
Synopsis: Parcel-Based Correlation Between NIfTI Images
Description:

Estimate the correlation between two NIfTI images across random parcellations of the images (Fortea et al., under review). This approach overcomes the problems of both voxel-based correlations (neighbor voxels may be spatially dependent) and atlas-based correlations (the correlation may depend on the atlas used).

r-neuralnettools 1.5.3
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-reshape2@1.4.5 r-nnet@7.3-20 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NeuralNetTools
Licenses: CC0
Build system: r
Synopsis: Visualization and Analysis Tools for Neural Networks
Description:

Visualization and analysis tools to aid in the interpretation of neural network models. Functions are available for plotting, quantifying variable importance, conducting a sensitivity analysis, and obtaining a simple list of model weights.

r-noisysbm 0.1.4
Propagated dependencies: r-rcolorbrewer@1.1-3 r-gtools@3.9.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=noisySBM
Licenses: GPL 2
Build system: r
Synopsis: Noisy Stochastic Block Mode: Graph Inference by Multiple Testing
Description:

Variational Expectation-Maximization algorithm to fit the noisy stochastic block model to an observed dense graph and to perform a node clustering. Moreover, a graph inference procedure to recover the underlying binary graph. This procedure comes with a control of the false discovery rate. The method is described in the article "Powerful graph inference with false discovery rate control" by T. Rebafka, E. Roquain, F. Villers (2020) <arXiv:1907.10176>.

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