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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-nlpclient 1.0
Propagated dependencies: r-xml2@1.5.0 r-nlp@0.3-2 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NLPclient
Licenses: GPL 2
Build system: r
Synopsis: Stanford 'CoreNLP' Annotation Client
Description:

Stanford CoreNLP annotation client. Stanford CoreNLP <https://stanfordnlp.github.io/CoreNLP/index.html> integrates all NLP tools from the Stanford Natural Language Processing Group, including a part-of-speech (POS) tagger, a named entity recognizer (NER), a parser, and a coreference resolution system, and provides model files for the analysis of English. More information can be found in the README.

r-nmslibr 1.0.7
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/mlampros/nmslibR
Licenses: ASL 2.0
Build system: r
Synopsis: Non Metric Space (Approximate) Library
Description:

This package provides a Non-Metric Space Library ('NMSLIB <https://github.com/nmslib/nmslib>) wrapper, which according to the authors "is an efficient cross-platform similarity search library and a toolkit for evaluation of similarity search methods. The goal of the NMSLIB <https://github.com/nmslib/nmslib> Library is to create an effective and comprehensive toolkit for searching in generic non-metric spaces. Being comprehensive is important, because no single method is likely to be sufficient in all cases. Also note that exact solutions are hardly efficient in high dimensions and/or non-metric spaces. Hence, the main focus is on approximate methods". The wrapper also includes Approximate Kernel k-Nearest-Neighbor functions based on the NMSLIB <https://github.com/nmslib/nmslib> Python Library.

r-nat-nblast 1.6.9
Propagated dependencies: r-spam@2.11-1 r-rgl@1.3.31 r-plyr@1.8.9 r-nat@1.8.25 r-nabor@0.5.0 r-dendroextras@0.2.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://natverse.org/nat.nblast/
Licenses: GPL 3
Build system: r
Synopsis: NeuroAnatomy Toolbox ('nat') Extension for Assessing Neuron Similarity and Clustering
Description:

Extends package nat (NeuroAnatomy Toolbox) by providing a collection of NBLAST-related functions for neuronal morphology comparison (Costa et al. (2016) <doi: 10.1016/j.neuron.2016.06.012>).

r-nngeo 0.4.8
Propagated dependencies: r-units@1.0-0 r-sf@1.0-23 r-nabor@0.5.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://michaeldorman.github.io/nngeo/
Licenses: Expat
Build system: r
Synopsis: k-Nearest Neighbor Join for Spatial Data
Description:

K-nearest neighbor search for projected and non-projected sf spatial layers. Nearest neighbor search uses (1) C code from GeographicLib for lon-lat point layers, (2) function knn() from package nabor for projected point layers, or (3) function st_distance() from package sf for line or polygon layers. The package also includes several other utility functions for spatial analysis.

r-nipntk 0.2.2
Propagated dependencies: r-withr@3.0.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nutriverse.io/nipnTK/
Licenses: GPL 3
Build system: r
Synopsis: National Information Platforms for Nutrition Anthropometric Data Toolkit
Description:

An implementation of the National Information Platforms for Nutrition or NiPN's analytic methods for assessing quality of anthropometric datasets that include measurements of weight, height or length, middle upper arm circumference, sex and age. The focus is on anthropometric status but many of the presented methods could be applied to other variables.

r-npcd 1.0-11
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NPCD
Licenses: LGPL 2.1+
Build system: r
Synopsis: Nonparametric Methods for Cognitive Diagnosis
Description:

An array of nonparametric and parametric estimation methods for cognitive diagnostic models, including nonparametric classification of examinee attribute profiles, joint maximum likelihood estimation (JMLE) of examinee attribute profiles and item parameters, and nonparametric refinement of the Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of examinee attribute profiles given item parameters and CMLE of item parameters given examinee attribute profiles. Currently the nonparametric methods in the package support both conjunctive and disjunctive models, and the parametric methods in the package support the DINA model, the DINO model, the NIDA model, the G-NIDA model, and the R-RUM model.

r-nflreadr 1.5.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nflreadr.nflverse.com
Licenses: Expat
Build system: r
Synopsis: Download 'nflverse' Data
Description:

This package provides a minimal package for downloading data from GitHub repositories of the nflverse project.

r-netropy 0.2.0
Propagated dependencies: r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/termehs/netropy
Licenses: Expat
Build system: r
Synopsis: Statistical Entropy Analysis of Network Data
Description:

Statistical entropy analysis of network data as introduced by Frank and Shafie (2016) <doi:10.1177/0759106315615511>, and a in textbook which is in progress.

r-neotoma2 1.0.11
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/NeotomaDB/neotoma2
Licenses: Expat
Build system: r
Synopsis: Working with the Neotoma Paleoecology Database
Description:

Access and manipulation of data using the Neotoma Paleoecology Database. <https://api.neotomadb.org/api-docs/>. Examples in functions that require API access are not executed during CRAN checks. Vignettes do not execute as to avoid API calls during CRAN checks.

r-newsmd 0.5.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/Dschaykib/newsmd
Licenses: Expat
Build system: r
Synopsis: Creation of NEWS.md File
Description:

Adding updates (version or bullet points) to the NEWS.md file.

r-nlgm 1.0
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 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=nlgm
Licenses: GPL 2+
Build system: r
Synopsis: Non Linear Growth Models
Description:

Six growth models are fitted using non-linear least squares. These are the Richards, the 3, 4 and 5 parameter logistic, the Gompetz and the Weibull growth models. Reference: Reddy T., Shkedy Z., van Rensburg C. J., Mwambi H., Debba P., Zuma K. and Manda, S. (2021). "Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach". BMC medical research methodology, 21(1), 1-11. <doi:10.1186/s12874-020-01165-x>.

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-nucombog 1.0.4.2
Propagated dependencies: r-snowfall@1.84-6.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/jeroenpullens/NUCOMBog/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: NUtrient Cycling and COMpetition Model Undisturbed Open Bog Ecosystems in a Temperate to Sub-Boreal Climate
Description:

Modelling the vegetation, carbon, nitrogen and water dynamics of undisturbed open bog ecosystems in a temperate to sub-boreal climate. The executable of the model can downloaded from <https://github.com/jeroenpullens/NUCOMBog>.

r-npwbs 0.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=npwbs
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Multiple Change Point Detection Using WBS
Description:

This package implements the procedure from G. J. Ross (2021) - "Nonparametric Detection of Multiple Location-Scale Change Points via Wild Binary Segmentation" <arxiv:2107.01742>. This uses a version of Wild Binary Segmentation to detect multiple location-scale (i.e. mean and/or variance) change points in a sequence of univariate observations, with a strict control on the probability of incorrectly detecting a change point in a sequence which does not contain any.

r-nhsrdatasets 0.3.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nhs-r-community/NHSRdatasets
Licenses: CC0
Build system: r
Synopsis: NHS and Healthcare-Related Data for Education and Training
Description:

Free United Kingdom National Health Service (NHS) and other healthcare, or population health-related data for education and training purposes. This package contains synthetic data based on real healthcare datasets, or cuts of open-licenced official data. This package exists to support skills development in the NHS-R community: <https://nhsrcommunity.com/>.

r-nixtlar 0.6.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nixtla.github.io/nixtlar/
Licenses: ASL 2.0
Build system: r
Synopsis: Software Development Kit for 'Nixtla''s 'TimeGPT'
Description:

This package provides a Software Development Kit for working with Nixtla''s TimeGPT', a foundation model for time series forecasting. API is an acronym for application programming interface'; this package allows users to interact with TimeGPT via the API'. You can set and validate API keys and generate forecasts via API calls. It is compatible with tsibble and base R. For more details visit <https://docs.nixtla.io/>.

r-networktree 1.0.1
Propagated dependencies: r-reshape2@1.4.5 r-qgraph@1.9.8 r-partykit@1.2-24 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-gridbase@0.4-7 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://paytonjjones.github.io/networktree/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Recursive Partitioning of Network Models
Description:

Network trees recursively partition the data with respect to covariates. Two network tree algorithms are available: model-based trees based on a multivariate normal model and nonparametric trees based on covariance structures. After partitioning, correlation-based networks (psychometric networks) can be fit on the partitioned data. For details see Jones, Mair, Simon, & Zeileis (2020) <doi:10.1007/s11336-020-09731-4>.

r-neutrostat 0.0.2
Propagated dependencies: r-ntsdists@2.1.1 r-moments@0.14.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/kzst/neutrostat
Licenses: GPL 2+
Build system: r
Synopsis: Neutrosophic Statistics
Description:

Analyzes data involving imprecise and vague information. Provides summary statistics and describes the characteristics of neutrosophic data, as defined by Florentin Smarandache (2013).<ISBN:9781599732749>.

r-npboottprmfbar 0.2.0
Propagated dependencies: r-shiny@1.11.1 r-restriktor@0.6-30 r-npboottprm@0.3.2 r-mmints@0.2.0 r-lmperm@2.1.6 r-fgarch@4052.93 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/mightymetrika/npboottprmFBar
Licenses: Expat
Build system: r
Synopsis: Informative Nonparametric Bootstrap Test with Pooled Resampling
Description:

Sample sizes are often small due to hard to reach target populations, rare target events, time constraints, limited budgets, or ethical considerations. Two statistical methods with promising performance in small samples are the nonparametric bootstrap test with pooled resampling method, which is the focus of Dwivedi, Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, and informative hypothesis testing, which is implemented in the restriktor package. The npboottprmFBar package uses the nonparametric bootstrap test with pooled resampling method to implement informative hypothesis testing. The bootFbar() function can be used to analyze data with this method and the persimon() function can be used to conduct performance simulations on type-one error and statistical power.

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-nakagami 1.1.0
Propagated dependencies: r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/JonasMoss/nakagami
Licenses: Expat
Build system: r
Synopsis: Functions for the Nakagami Distribution
Description:

Density, distribution function, quantile function and random generation for the Nakagami distribution of Nakagami (1960) <doi:10.1016/B978-0-08-009306-2.50005-4>.

r-nixmass 1.3.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://haraldschellander.github.io/nixmass/
Licenses: GPL 3
Build system: r
Synopsis: Snow Water Equivalent Modeling with the 'Delta.snow' and 'HS2SWE' Models and Empirical Regression Models
Description:

Snow water equivalent is modeled with the process based models delta.snow and HS2SWE and empirical regression, which use relationships between density and diverse at-site parameters. The methods are described in Winkler et al. (2021) <doi:10.5194/hess-25-1165-2021>, Magnusson et al. (2025) <doi:10.1016/j.coldregions.2025.104435>, Guyennon et al. (2019) <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016) <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009) <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010) <doi:10.1175/2010JHM1202.1>.

r-nlreg 1.2-4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.r-project.org
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Higher Order Inference for Nonlinear Heteroscedastic Models
Description:

This package implements likelihood inference based on higher order approximations for nonlinear models with possibly non constant variance.

r-nbshiny2 0.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NBShiny2
Licenses: GPL 2
Build system: r
Synopsis: Interactive Document for Working with Naive Bayes Classification
Description:

An interactive document on the topic of naive Bayes classification analysis using rmarkdown and shiny packages. Runtime examples are provided in the package function as well as at <https://kartikeyab.shinyapps.io/NBShiny/>.

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Total results: 69112