_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-nppbib 1.2-0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/dalling1
Licenses: GPL 3
Build system: r
Synopsis: Nonparametric Partially-Balanced Incomplete Block Design Analysis
Description:

This package implements a nonparametric statistical test for rank or score data from partially-balanced incomplete block-design experiments.

r-npregderiv 1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=npregderiv
Licenses: GPL 2+
Build system: r
Synopsis: Nonparametric Estimation of the Derivatives of a Regression Function
Description:

Estimating the first and second derivatives of a regression function by the method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.

r-neptune 0.2.3
Dependencies: python@3.11.14
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/neptune-ai/neptune-r
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: MLOps Metadata Store - Experiment Tracking and Model Registry for Production Teams
Description:

An interface to Neptune. A metadata store for MLOps, built for teams that run a lot of experiments. It gives you a single place to log, store, display, organize, compare, and query all your model-building metadata. Neptune is used for: â ¢ Experiment tracking: Log, display, organize, and compare ML experiments in a single place. â ¢ Model registry: Version, store, manage, and query trained models, and model building metadata. â ¢ Monitoring ML runs live: Record and monitor model training, evaluation, or production runs live For more information see <https://neptune.ai/>.

r-neuralnettools 1.5.3
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-ngramrr 0.2.0
Propagated dependencies: r-tm@0.7-16 r-tau@0.0-27
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/chainsawriot/ngramrr
Licenses: GPL 2
Build system: r
Synopsis: Simple General Purpose N-Gram Tokenizer
Description:

This package provides a simple n-gram (contiguous sequences of n items from a given sequence of text) tokenizer to be used with the tm package with no rJava'/'RWeka dependency.

r-nonlineardotplot 0.5.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nonLinearDotPlot
Licenses: Expat
Build system: r
Synopsis: Non Linear Dot Plots
Description:

Non linear dot plots are diagrams that allow dots of varying size to be constructed, so that columns with a large number of samples are reduced in height. Implementation of algorithm described in: Nils Rodrigues and Daniel Weiskopf, "Nonlinear Dot Plots", IEEE Transactions on Visualization and Computer Graphics, vol. 24, no. 1, pp. 616-625, 2018. <doi:10.1109/TVCG.2017.2744018>.

r-navigatr 0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/UchidaMizuki/navigatr
Licenses: Expat
Build system: r
Synopsis: Navigation Menu for Pipe-Friendly Data Processing
Description:

This package provides a navigation menu to enable pipe-friendly data processing for hierarchical data structures. By activating the menu items, you can perform operations on each item while maintaining the overall structure in attributes.

r-nsp 1.0.0
Propagated dependencies: r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nsp
Licenses: GPL 3+
Build system: r
Synopsis: Inference for Multiple Change-Points in Linear Models
Description:

Implementation of Narrowest Significance Pursuit, a general and flexible methodology for automatically detecting localised regions in data sequences which each must contain a change-point (understood as an abrupt change in the parameters of an underlying linear model), at a prescribed global significance level. Narrowest Significance Pursuit works with a wide range of distributional assumptions on the errors, and yields exact desired finite-sample coverage probabilities, regardless of the form or number of the covariates. For details, see P. Fryzlewicz (2021) <https://stats.lse.ac.uk/fryzlewicz/nsp/nsp.pdf>.

r-ncbit 2013.03.29.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=ncbit
Licenses: GPL 2+
Build system: r
Synopsis: Retrieve and Build NBCI Taxonomic Data
Description:

Makes NCBI taxonomic data locally available and searchable as an R object.

r-ncaavolleyballr 0.5.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/JeffreyRStevens/ncaavolleyballr
Licenses: Expat
Build system: r
Synopsis: Extract Data from NCAA Women's and Men's Volleyball Website
Description:

Extracts team records/schedules and player statistics for the 2020-2025 National Collegiate Athletic Association (NCAA) women's and men's divisions I, II, and III volleyball teams from <https://stats.ncaa.org>. Functions can aggregate statistics for teams, conferences, divisions, or custom groups of teams.

r-nzpullover 0.3.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nacnudus/nzpullover
Licenses: CC0
Build system: r
Synopsis: Driving Offences in New Zealand Between 2009 and 2016
Description:

Datasets of driving offences and fines in New Zealand between 2009 and 2017. Originally published by the New Zealand Police at <http://www.police.govt.nz/about-us/publication/road-policing-driver-offence-data-january-2009-december-2017>.

r-naivereg 1.0.5
Propagated dependencies: r-ncvreg@3.16.0 r-grpreg@3.5.0 r-gmm@1.9-1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=naivereg
Licenses: GPL 2+
Build system: r
Synopsis: Nonparametric Additive Instrumental Variable Estimator and Related IV Methods
Description:

In empirical studies, instrumental variable (IV) regression is the signature method to solve the endogeneity problem. If we enforce the exogeneity condition of the IV, it is likely that we end up with a large set of IVs without knowing which ones are good. Also, one could face the model uncertainty for structural equation, as large micro dataset is commonly available nowadays. This package uses adaptive group lasso and B-spline methods to select the nonparametric components of the IV function, with the linear function being a special case (naivereg). The package also incorporates two stage least squares estimator (2SLS), generalized method of moment (GMM), generalized empirical likelihood (GEL) methods post instrument selection, logistic-regression instrumental variables estimator (LIVE, for dummy endogenous variable problem), double-selection plus instrumental variable estimator (DS-IV) and double selection plus logistic regression instrumental variable estimator (DS-LIVE), where the double selection methods are useful for high-dimensional structural equation models. The naivereg is nonparametric version of ivregress in Stata with IV selection and high dimensional features. The package is based on the paper by Q. Fan and W. Zhong, "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective" (2018), Journal of Business & Economic Statistics <doi:10.1080/07350015.2016.1180991> as well as a series of working papers led by the same authors.

r-norstr 0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/magnusdv/norSTR
Licenses: Expat
Build system: r
Synopsis: Allele Frequencies for 50 Forensic STR Markers
Description:

Allele frequency databases for 50 forensic short tandem repeat (STR) markers, covering Norway and several broader regional populations: Europe, Africa, South America, West Asia, Middle Asia, and East Asia. Developed and maintained for use at the Department of Forensic Sciences, Oslo, Norway.

r-nonstat 0.0.6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nonstat
Licenses: GPL 3
Build system: r
Synopsis: Detecting Nonstationarity in Time Series
Description:

This package provides a nonvisual procedure for screening time series for nonstationarity in the context of intensive longitudinal designs, such as ecological momentary assessments. The method combines two diagnostics: one for detecting trends (based on the split R-hat statistic from Bayesian convergence diagnostics) and one for detecting changes in variance (a novel extension inspired by Levene's test). This approach allows researchers to efficiently and reproducibly detect violations of the stationarity assumption, especially when visual inspection of many individual time series is impractical. The procedure is suitable for use in all areas of research where time series analysis is central. For a detailed description of the method and its validation through simulations and empirical application, see Zitzmann, S., Lindner, C., Lohmann, J. F., & Hecht, M. (2024) "A Novel Nonvisual Procedure for Screening for Nonstationarity in Time Series as Obtained from Intensive Longitudinal Designs" <https://www.researchgate.net/publication/384354932_A_Novel_Nonvisual_Procedure_for_Screening_for_Nonstationarity_in_Time_Series_as_Obtained_from_Intensive_Longitudinal_Designs>.

r-neuralestimators 0.2.0
Dependencies: julia@1.8.5
Propagated dependencies: r-magrittr@2.0.4 r-juliaconnector@1.1.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/msainsburydale/NeuralEstimators
Licenses: GPL 2+
Build system: r
Synopsis: Likelihood-Free Parameter Estimation using Neural Networks
Description:

An R interface to the Julia package NeuralEstimators.jl'. The package facilitates the user-friendly development of neural Bayes estimators, which are neural networks that map data to a point summary of the posterior distribution (Sainsbury-Dale et al., 2024, <doi:10.1080/00031305.2023.2249522>). These estimators are likelihood-free and amortised, in the sense that, once the neural networks are trained on simulated data, inference from observed data can be made in a fraction of the time required by conventional approaches. The package also supports amortised Bayesian or frequentist inference using neural networks that approximate the posterior or likelihood-to-evidence ratio (Zammit-Mangion et al., 2025, Sec. 3.2, 5.2, <doi:10.48550/arXiv.2404.12484>). The package accommodates any model for which simulation is feasible by allowing users to define models implicitly through simulated data.

r-nfunnn 1.0
Propagated dependencies: r-torch@0.16.3 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nFunNN
Licenses: GPL 3+
Build system: r
Synopsis: Nonlinear Functional Principal Component Analysis using Neural Networks
Description:

Implementation for nFunNN method, which is a novel nonlinear functional principal component analysis method using neural networks. The crucial function of this package is nFunNNmodel().

r-noveldistns 0.1.0
Propagated dependencies: r-rootsolve@1.8.2.4 r-gsl@2.1-9 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=NovelDistns
Licenses: Expat
Build system: r
Synopsis: Computes PDF, CDF, Quantile, Random Numbers and Measures of Inference for 3 General Families of Distributions
Description:

Computes the probability density function, the cumulative density function, quantile function, random numbers and measures of inference for the following families exponentiated generalized gull alpha power family, exponentiated gull alpha powerfamily, gull alpha power family.

r-neurodecoder 0.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://emeyers.github.io/NeuroDecodeR/
Licenses: GPL 3
Build system: r
Synopsis: Decode Information from Neural Activity
Description:

Neural decoding is method of analyzing neural data that uses a pattern classifiers to predict experimental conditions based on neural activity. NeuroDecodeR is a system of objects that makes it easy to run neural decoding analyses. For more information on neural decoding see Meyers & Kreiman (2011) <doi:10.7551/mitpress/8404.003.0024>.

r-nofrills 0.3.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/egnha/nofrills
Licenses: Expat
Build system: r
Synopsis: Low-Cost Anonymous Functions
Description:

This package provides a compact variation of the usual syntax of function declaration, in order to support tidyverse-style quasiquotation of a function's arguments and body.

r-nfactors 2.4.1.2
Propagated dependencies: r-psych@2.5.6 r-mass@7.3-65 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nFactors
Licenses: GPL 3
Build system: r
Synopsis: Parallel Analysis and Other Non Graphical Solutions to the Cattell Scree Test
Description:

Indices, heuristics, simulations and strategies to help determine the number of factors/components to retain in exploratory factor analysis and principal component analysis.

r-nestedmenu 0.2.0
Propagated dependencies: r-shiny@1.11.1 r-jquerylib@0.1.4 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-fontawesome@0.5.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/stla/NestedMenu
Licenses: GPL 3
Build system: r
Synopsis: Nested Menu Widget for 'Shiny' Applications
Description:

This package provides a nested menu widget for usage in Shiny applications. This is useful for hierarchical choices (e.g. continent, country, city).

r-networkextinction 1.0.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://derek-corcoran-barrios.github.io/NetworkExtinction/
Licenses: GPL 2+
Build system: r
Synopsis: Extinction Simulation in Ecological Networks
Description:

Simulates the extinction of species in ecological networks and it analyzes its cascading effects, described in Dunne et al. (2002) <doi:10.1073/pnas.192407699>.

r-nortestarma 1.0.2
Propagated dependencies: r-astsa@2.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nortestARMA
Licenses: GPL 3+
Build system: r
Synopsis: Neyman Smooth Tests of Normality for the Errors of ARMA Models
Description:

Tests the goodness-of-fit to the Normal distribution for the errors of an ARMA model.

r-nullcat 0.1.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/matthewkling/nullcat
Licenses: Expat
Build system: r
Synopsis: Null Models for Categorical and Continuous Community Matrices
Description:

This package provides null model algorithms for categorical and quantitative community ecology data. Extends classic binary null models (e.g., curveball', swap') to work with categorical data. Provides a stratified randomization framework for continuous data.

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Total results: 69112