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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-nprotreg 1.1.1
Propagated dependencies: r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nprotreg
Licenses: Expat
Build system: r
Synopsis: Nonparametric Rotations for Sphere-Sphere Regression
Description:

Fits sphere-sphere regression models by estimating locally weighted rotations. Simulation of sphere-sphere data according to non-rigid rotation models. Provides methods for bias reduction applying iterative procedures within a Newton-Raphson learning scheme. Cross-validation is exploited to select smoothing parameters. See Marco Di Marzio, Agnese Panzera & Charles C. Taylor (2018) <doi:10.1080/01621459.2017.1421542>.

r-normalp 0.7.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.r-project.org
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Routines for Exponential Power Distribution
Description:

This package provides a collection of utilities referred to Exponential Power distribution, also known as General Error Distribution (see Mineo, A.M. and Ruggieri, M. (2005), A software Tool for the Exponential Power Distribution: The normalp package. In Journal of Statistical Software, Vol. 12, Issue 4).

r-neuralgam 2.0.1
Dependencies: python@3.11.14
Propagated dependencies: r-tensorflow@2.20.0 r-rlang@1.1.6 r-reticulate@1.44.1 r-patchwork@1.3.2 r-matrixstats@1.5.0 r-magrittr@2.0.4 r-keras@2.16.0 r-ggplot2@4.0.1 r-formula-tools@1.7.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://inesortega.github.io/neuralGAM/
Licenses: FSDG-compatible
Build system: r
Synopsis: Interpretable Neural Network Based on Generalized Additive Models
Description:

Neural Additive Model framework based on Generalized Additive Models from Hastie & Tibshirani (1990, ISBN:9780412343902), which trains a different neural network to estimate the contribution of each feature to the response variable. The networks are trained independently leveraging the local scoring and backfitting algorithms to ensure that the Generalized Additive Model converges and it is additive. The resultant Neural Network is a highly accurate and interpretable deep learning model, which can be used for high-risk AI practices where decision-making should be based on accountable and interpretable algorithms.

r-nlmeu 0.71.7
Propagated dependencies: r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/agalecki/nlmeU
Licenses: GPL 2
Build system: r
Synopsis: Functions and Data Supporting 'Linear Mixed-Effects Models: A Step-by-Step Approach'
Description:

This package provides functions and datasets to support the book by Galecki and Burzykowski (2013), Linear Mixed-Effects Models: A Step-by-Step Approach', Springer. Includes functions for power calculations, log-likelihood contributions, and data simulation for linear mixed-effects models.

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-neotoma2 1.0.11
Propagated dependencies: r-uuid@1.2-1 r-tidyr@1.3.1 r-stringr@1.6.0 r-sf@1.0-23 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-magrittr@2.0.4 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-geojsonsf@2.0.5 r-dplyr@1.1.4 r-digest@0.6.39 r-assertthat@0.2.1
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-nhppp 1.0.2
Propagated dependencies: r-rstream@1.3.7 r-rcpp@1.1.0 r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://bladder-ca.github.io/nhppp/
Licenses: GPL 3+
Build system: r
Synopsis: Simulating Nonhomogeneous Poisson Point Processes
Description:

Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358> and 2024, <doi:10.1371/journal.pone.0311311>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).

r-npcirc 3.1.2
Propagated dependencies: r-shape@1.4.6.1 r-rgl@1.3.31 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-plotrix@3.8-13 r-movmf@0.2-9 r-misc3d@0.9-1 r-circular@0.5-2 r-bolstad2@1.0-29
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.jstatsoft.org/v61/i09/
Licenses: GPL 2+
Build system: r
Synopsis: Nonparametric Circular Methods
Description:

Nonparametric smoothing methods for density and regression estimation involving circular data, including the estimation of the mean regression function and other conditional characteristics.

r-nlmevpc 2.8
Propagated dependencies: r-timedate@4051.111 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-quantreg@6.1 r-optimx@2025-4.9 r-hmisc@5.2-4 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=nlmeVPC
Licenses: Expat
Build system: r
Synopsis: Visual Model Checking for Nonlinear Mixed Effect Model
Description:

Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plots (Karlsson and Holford, 2008, <https://www.page-meeting.org/?abstract=1434>).

r-neudist 1.0.1
Propagated dependencies: r-goftest@1.2-3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NeuDist
Licenses: GPL 3
Build system: r
Synopsis: Univariate Continuous Distributions with Model Diagnostics
Description:

This package implements univariate continuous probability distributions and associated model diagnostics based on the Lindley, Logistic, Half-Cauchy, Half-Logistic, and Poisson families. Provides functions for probability density, cumulative distribution, quantile, and hazard evaluation, random variate generation, and diagnostic procedures including Q-Q and P-P plots, goodness-of-fit tests, and model selection criteria.

r-nhsdatadictionary 1.2.5
Propagated dependencies: r-xml2@1.5.0 r-tibble@3.3.0 r-stringr@1.6.0 r-rvest@1.0.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NHSDataDictionaRy
Licenses: Expat
Build system: r
Synopsis: NHS Data Dictionary Toolset for NHS Lookups
Description:

Providing a common set of simplified web scraping tools for working with the NHS Data Dictionary <https://datadictionary.nhs.uk/data_elements_overview.html>. The intended usage is to access the data elements section of the NHS Data Dictionary to access key lookups. The benefits of having it in this package are that the lookups are the live lookups on the website and will not need to be maintained. This package was commissioned by the NHS-R community <https://nhsrcommunity.com/> to provide this consistency of lookups. The OpenSafely lookups have now been added <https://www.opencodelists.org/docs/>.

r-nns 11.6.4
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-rgl@1.3.31 r-rfast@2.1.5.2 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-quantmod@0.4.28 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NNS
Licenses: GPL 3
Build system: r
Synopsis: Nonlinear Nonparametric Statistics
Description:

NNS (Nonlinear Nonparametric Statistics) leverages partial moments â the fundamental elements of variance that asymptotically approximate the area under f(x) â to provide a robust foundation for nonlinear analysis while maintaining linear equivalences. NNS delivers a comprehensive suite of advanced statistical techniques, including: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).

r-networklite 1.1.0
Propagated dependencies: r-tibble@3.3.0 r-statnet-common@4.12.0 r-network@1.19.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/EpiModel/networkLite/
Licenses: GPL 3
Build system: r
Synopsis: An Simplified Implementation of the 'network' Package Functionality
Description:

An implementation of some of the core network package functionality based on a simplified data structure that is faster in many research applications. This package is designed for back-end use in the statnet family of packages, including EpiModel'. Support is provided for binary and weighted, directed and undirected, bipartite and unipartite networks; no current support for multigraphs, hypergraphs, or loops.

r-nlts 1.0-2
Propagated dependencies: r-locfit@1.5-9.12 r-acepack@1.6.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: http://ento.psu.edu/directory/onb1
Licenses: GPL 3
Build system: r
Synopsis: Nonlinear Time Series Analysis
Description:

R functions for (non)linear time series analysis with an emphasis on nonparametric autoregression and order estimation, and tests for linearity / additivity.

r-naepprimer 1.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NAEPprimer
Licenses: GPL 2
Build system: r
Synopsis: The NAEP Primer
Description:

This package contains a sample of the 2005 Grade 8 Mathematics data from the National Assessment of Educational Progress (NAEP). This data set is called the NAEP Primer.

r-nac 0.1.0
Propagated dependencies: r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://arxiv.org/abs/2306.15616
Licenses: GPL 2
Build system: r
Synopsis: Network-Adjusted Covariates for Community Detection
Description:

Incorporating node-level covariates for community detection has gained increasing attention these years. This package provides the function for implementing the novel community detection algorithm known as Network-Adjusted Covariates for Community Detection (NAC), which is designed to detect latent community structure in graphs with node-level information, i.e., covariates. This algorithm can handle models such as the degree-corrected stochastic block model (DCSBM) with covariates. NAC specifically addresses the discrepancy between the community structure inferred from the adjacency information and the community structure inferred from the covariates information. For more detailed information, please refer to the reference paper: Yaofang Hu and Wanjie Wang (2023) <arXiv:2306.15616>. In addition to NAC, this package includes several other existing community detection algorithms that are compared to NAC in the reference paper. These algorithms are Spectral Clustering On Ratios-of Eigenvectors (SCORE), network-based regularized spectral clustering (Net-based), covariate-based spectral clustering (Cov-based), covariate-assisted spectral clustering (CAclustering) and semidefinite programming (SDP).

r-neatmaps 2.1.0
Propagated dependencies: r-igraph@2.2.1 r-heatmaply@1.6.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-consensusclusterplus@1.74.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/PhilBoileau/neatmaps
Licenses: Expat
Build system: r
Synopsis: Heatmaps for Multiple Network Data
Description:

Simplify the exploratory data analysis process for multiple network data sets with the help of hierarchical clustering, consensus clustering and heatmaps. Multiple network data consists of multiple disjoint networks that have common variables (e.g. ego networks). This package contains the necessary tools for exploring such data, from the data pre-processing stage to the creation of dynamic visualizations.

r-nemsqar 1.1.2
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-rlang@1.1.6 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-glue@1.8.0 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/bemts-hhs/nemsqar
Licenses: Expat
Build system: r
Synopsis: National Emergency Medical Service Quality Alliance Measure Calculations
Description:

Designed to automate the calculation of Emergency Medical Service (EMS) quality metrics, nemsqar implements measures defined by the National EMS Quality Alliance (NEMSQA). By providing reliable, evidence-based quality assessments, the package supports EMS agencies, healthcare providers, and researchers in evaluating and improving patient outcomes. Users can find details on all approved NEMSQA measures at <https://www.nemsqa.org/measures>. Full technical specifications, including documentation and pseudocode used to develop nemsqar', are available on the NEMSQA website after creating a user profile at <https://www.nemsqa.org>.

r-ndl 0.2.18
Propagated dependencies: r-rcpp@1.1.0 r-mass@7.3-65 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=ndl
Licenses: GPL 3
Build system: r
Synopsis: Naive Discriminative Learning
Description:

Naive discriminative learning implements learning and classification models based on the Rescorla-Wagner equations and their equilibrium equations.

r-natcpp 0.2
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/natverse/natcpp
Licenses: GPL 3+
Build system: r
Synopsis: Fast C++ Primitives for the 'NeuroAnatomy Toolbox'
Description:

Fast functions implemented in C++ via Rcpp to support the NeuroAnatomy Toolbox ('nat') ecosystem. These functions provide large speed-ups for basic manipulation of neuronal skeletons over pure R functions found in the nat package. The expectation is that end users will not use this package directly, but instead the nat package will automatically use routines from this package when it is available to enable large performance gains.

r-nlmrt 2016.3.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlmrt
Licenses: GPL 2
Build system: r
Synopsis: Functions for Nonlinear Least Squares Solutions
Description:

Replacement for nls() tools for working with nonlinear least squares problems. The calling structure is similar to, but much simpler than, that of the nls() function. Moreover, where nls() specifically does NOT deal with small or zero residual problems, nlmrt is quite happy to solve them. It also attempts to be more robust in finding solutions, thereby avoiding singular gradient messages that arise in the Gauss-Newton method within nls(). The Marquardt-Nash approach in nlmrt generally works more reliably to get a solution, though this may be one of a set of possibilities, and may also be statistically unsatisfactory. Added print and summary as of August 28, 2012.

r-ncaavolleyballr 0.5.1
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rvest@1.0.5 r-rlang@1.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-httr2@1.2.1 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5 r-chromote@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-nbshiny2 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rmarkdown@2.30 r-rhandsontable@0.3.8 r-e1071@1.7-16 r-dplyr@1.1.4 r-caret@7.0-1
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/>.

r-nc 2025.3.24
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/tdhock/nc
Licenses: GPL 3
Build system: r
Synopsis: Named Capture to Data Tables
Description:

User-friendly functions for extracting a data table (row for each match, column for each group) from non-tabular text data using regular expressions, and for melting columns that match a regular expression. Patterns are defined using a readable syntax that makes it easy to build complex patterns in terms of simpler, re-usable sub-patterns. Named R arguments are translated to column names in the output; capture groups without names are used internally in order to provide a standard interface to three regular expression C libraries ('PCRE', RE2', ICU'). Output can also include numeric columns via user-specified type conversion functions.

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