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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-nsm3 1.20
Propagated dependencies: r-waveslim@1.8.5 r-survival@3.8-3 r-suppdists@1.1-9.9 r-rfit@0.27.0 r-quantreg@6.1 r-partitions@1.10-9 r-np@0.60-18 r-nortest@1.0-4 r-metafor@4.8-0 r-mass@7.3-65 r-km-ci@0.5-6 r-hmisc@5.2-4 r-gtools@3.9.5 r-fancova@0.6-1 r-combinat@0.0-8 r-coin@1.4-3 r-bsda@1.2.2 r-binom@1.1-1.1 r-ash@1.0-15 r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NSM3
Licenses: GPL 2
Build system: r
Synopsis: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition
Description:

Designed to replace the tables which were in the back of the first two editions of Hollander and Wolfe - Nonparametric Statistical Methods. Exact procedures are performed when computationally possible. Monte Carlo and Asymptotic procedures are performed otherwise. For those procedures included in the base packages, our code simply provides a wrapper to standardize the output with the other procedures in the package.

r-nat 1.8.25
Propagated dependencies: r-yaml@2.3.10 r-rgl@1.3.31 r-plyr@1.8.9 r-nat-utils@0.6.1 r-nabor@0.5.0 r-igraph@2.2.1 r-filehash@2.4-6 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/natverse/nat
Licenses: GPL 3
Build system: r
Synopsis: NeuroAnatomy Toolbox for Analysis of 3D Image Data
Description:

NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D biological image data, especially traced neurons. Reads and writes 3D images in NRRD and Amira AmiraMesh formats and reads surfaces in Amira hxsurf format. Traced neurons can be imported from and written to SWC and Amira LineSet and SkeletonGraph formats. These data can then be visualised in 3D via rgl', manipulated including applying calculated registrations, e.g. using the CMTK registration suite, and analysed. There is also a simple representation for neurons that have been subjected to 3D skeletonisation but not formally traced; this allows morphological comparison between neurons including searches and clustering (via the nat.nblast extension package).

r-nolock 1.1.0
Propagated dependencies: r-stringr@1.6.0 r-rstudioapi@0.17.1 r-ncmisc@1.2.0 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nolock
Licenses: GPL 3
Build system: r
Synopsis: Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in Active Script
Description:

This package provides a suite of tools that can assist in enhancing the processing efficiency of SQL and R scripts. - The libr_unused() retrieves a vector of package names that are called within an R script but are never actually used in the script. - The libr_used() retrieves a vector of package names actively utilized within an R script; packages loaded using library() but not actually used in the script will not be included. - The libr_called() retrieves a vector of all package names which are called within an R script. - nolock() appends WITH (nolock) to all tables in SQL queries. This facilitates reading from databases in scenarios where non-blocking reads are preferable, such as in high-transaction environments.

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-npexact 0.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/zauster/npExact
Licenses: GPL 2
Build system: r
Synopsis: Exact Nonparametric Hypothesis Tests for the Mean, Variance and Stochastic Inequality
Description:

This package provides several novel exact hypothesis tests with minimal assumptions on the errors. The tests are exact, meaning that their p-values are correct for the given sample sizes (the p-values are not derived from asymptotic analysis). The test for stochastic inequality is for ordinal comparisons based on two independent samples and requires no assumptions on the errors. The other tests include tests for the mean and variance of a single sample and comparing means in independent samples. All these tests only require that the data has known bounds (such as percentages that lie in [0,100]. These bounds are part of the input.

r-nlmixr2plot 5.0.0
Propagated dependencies: r-xgxr@1.1.2 r-vpc@1.2.2 r-rxode2@5.0.1 r-nlmixr2extra@5.0.0 r-nlmixr2est@5.0.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nlmixr2/nlmixr2plot
Licenses: GPL 3+
Build system: r
Synopsis: Nonlinear Mixed Effects Models in Population PK/PD, Plot Functions
Description:

Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the rxode2 package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for ggplot2 plotting methods for nlmixr2 objects.

r-nbody 1.41
Propagated dependencies: r-rcpp@1.1.0 r-magicaxis@2.5.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nbody
Licenses: GPL 3
Build system: r
Synopsis: Gravitational N-Body Simulation
Description:

Run simple direct gravitational N-body simulations. The package can access different external N-body simulators (e.g. GADGET-4 by Springel et al. (2021) <doi:10.48550/arXiv.2010.03567>), but also has a simple built-in simulator. This default simulator uses a variable block time step and lets the user choose between a range of integrators, including 4th and 6th order integrators for high-accuracy simulations. Basic top-hat smoothing is available as an option. The code also allows the definition of background particles that are fixed or in uniform motion, not subject to acceleration by other particles.

r-nice 0.4-2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nice
Licenses: Expat
Build system: r
Synopsis: Get or Set UNIX Niceness
Description:

Get or set UNIX priority (niceness) of running R process.

r-neat 1.2.4
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://mirkosignorelli.github.io/r
Licenses: GPL 3
Build system: r
Synopsis: Efficient Network Enrichment Analysis Test
Description:

Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in Signorelli et al. (2016, <DOI:10.1186/s12859-016-1203-6>).

r-nada2 2.0.1
Propagated dependencies: r-vegan@2.7-2 r-survminer@0.5.1 r-survival@3.8-3 r-perm@1.0-0.4 r-nbclust@3.0.1 r-multcomp@1.4-29 r-mgcv@1.9-4 r-kendall@2.2.1 r-fitdistrplus@1.2-4 r-envstats@3.1.0 r-coin@1.4-3 r-cengam@0.5.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/SwampThingPaul/NADA2
Licenses: Expat
Build system: r
Synopsis: Data Analysis for Censored Environmental Data
Description:

This package contains methods described by Dennis Helsel in his book "Statistics for Censored Environmental Data using Minitab and R" (2011) and courses and videos at <https://practicalstats.com>. This package incorporates functions of NADA and adds new functionality.

r-neurohcp 0.11.0
Propagated dependencies: r-xml2@1.5.0 r-httr@1.4.7 r-digest@0.6.39 r-base64enc@0.1-3 r-aws-s3@0.3.22
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://db.humanconnectome.org
Licenses: GPL 2
Build system: r
Synopsis: Human 'Connectome' Project Interface
Description:

Downloads and reads data from Human Connectome Project <https://db.humanconnectome.org> using Amazon Web Services ('AWS') S3 buckets.

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-nadaverse 0.1.0
Propagated dependencies: r-httr2@1.2.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/guturago/nadaverse
Licenses: Expat
Build system: r
Synopsis: Browse Microdata Catalogs Using 'NADA' REST API
Description:

This package provides a unified, programmatic interface for searching, browsing, and retrieving metadata from various international organization data repositories that use the National Data Archive ('NADA') software, such as the World Bank, FAO', and the International Household Survey Network ('IHSN'). Functions allow users to discover available data collections, country codes, and access types, perform complex searches using keyword and spatial/temporal filters, and retrieve detailed study information, including file lists and variable-level data dictionaries. It simplifies access to microdata for researchers and policy analysts globally.

r-nlsic 1.2.0
Propagated dependencies: r-nnls@1.6 r-glue@1.8.0 r-dotty@0.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/MathsCell/nlsic
Licenses: GPL 2
Build system: r
Synopsis: Non Linear Least Squares with Inequality Constraints
Description:

We solve non linear least squares problems with optional equality and/or inequality constraints. Non linear iterations are globalized with back-tracking method. Linear problems are solved by dense QR decomposition from LAPACK which can limit the size of treated problems. On the other side, we avoid condition number degradation which happens in classical quadratic programming approach. Inequality constraints treatment on each non linear iteration is based on NNLS method (by Lawson and Hanson). We provide an original function lsi_ln for solving linear least squares problem with inequality constraints in least norm sens. Thus if Jacobian of the problem is rank deficient a solution still can be provided. However, truncation errors are probable in this case. Equality constraints are treated by using a basis of Null-space. User defined function calculating residuals must return a list having residual vector (not their squared sum) and Jacobian. If Jacobian is not in the returned list, package numDeriv is used to calculated finite difference version of Jacobian. The NLSIC method was fist published in Sokol et al. (2012) <doi:10.1093/bioinformatics/btr716>.

r-nlmixr2extra 5.0.0
Propagated dependencies: r-symengine@0.2.10 r-rxode2@5.0.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nlmixr2est@5.0.2 r-nlme@3.1-168 r-lotri@1.0.2 r-knitr@1.50 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-digest@0.6.39 r-data-table@1.17.8 r-crayon@1.5.3 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nlmixr2.github.io/nlmixr2extra/
Licenses: GPL 3+
Build system: r
Synopsis: Nonlinear Mixed Effects Models in Population PK/PD, Extra Support Functions
Description:

Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the rxode2 package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>). This package is for support functions like preconditioned fits <doi:10.1208/s12248-016-9866-5>, boostrap and stepwise covariate selection.

r-naspaclust 0.2.2
Propagated dependencies: r-stabledist@0.7-2 r-rdpack@2.6.4 r-rdist@0.0.5 r-beepr@2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=naspaclust
Licenses: GPL 3
Build system: r
Synopsis: Nature-Inspired Spatial Clustering
Description:

Implement and enhance the performance of spatial fuzzy clustering using Fuzzy Geographically Weighted Clustering with various optimization algorithms, mainly from Xin She Yang (2014) <ISBN:9780124167438> with book entitled Nature-Inspired Optimization Algorithms. The optimization algorithm is useful to tackle the disadvantages of clustering inconsistency when using the traditional approach. The distance measurements option is also provided in order to increase the quality of clustering results. The Fuzzy Geographically Weighted Clustering with nature inspired optimisation algorithm was firstly developed by Arie Wahyu Wijayanto and Ayu Purwarianti (2014) <doi:10.1109/CITSM.2014.7042178> using Artificial Bee Colony algorithm.

r-naijr 0.6.3
Propagated dependencies: r-stringi@1.8.7 r-sf@1.0-23 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-maps@3.4.3 r-mapdata@2.3.1 r-lifecycle@1.0.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://docs.ropensci.org/naijR/
Licenses: GPL 3
Build system: r
Synopsis: Operations to Ease Data Analyses Specific to Nigeria
Description:

This package provides a set of convenience functions as well as geographical/political data about Nigeria, aimed at simplifying work with data and information that are specific to the country.

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-nivo-bubblechart 0.1.1
Propagated dependencies: r-reactr@0.6.1 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/DataRacerEdu/nivo.bubblechart
Licenses: Expat
Build system: r
Synopsis: Interactive Bubble Charts for 'Shiny' Using 'Nivo'
Description:

This package creates interactive bubble chart visualizations for Shiny applications using the Nivo circle packing library. Provides an htmlwidgets wrapper around the Nivo circle packing chart, enabling hierarchical data visualization with customizable colors, labels, and interactive features including click and hover events. For more information about Nivo', see <https://nivo.rocks/>.

r-ntfy 0.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/jonocarroll/ntfy
Licenses: Expat
Build system: r
Synopsis: Lightweight Wrapper to the 'ntfy.sh' Service
Description:

The ntfy (pronounce: notify) service is a simple HTTP-based pub-sub notification service. It allows you to send notifications to your phone or desktop via scripts from any computer, entirely without signup, cost or setup. It's also open source if you want to run your own. Visit <https://ntfy.sh> for more details.

r-notebookutils 1.6.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=notebookutils
Licenses: Expat
Build system: r
Synopsis: Dummy R APIs Used in 'Azure Synapse Analytics' for Local Developments
Description:

This is a pure dummy interfaces package which mirrors MsSparkUtils APIs <https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/microsoft-spark-utilities?pivots=programming-language-r> of Azure Synapse Analytics <https://learn.microsoft.com/en-us/azure/synapse-analytics/> for R users, customer of Azure Synapse can download this package from CRAN for local development.

r-netvar 0.1-2
Propagated dependencies: r-fields@17.1 r-fgarch@4052.93
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NetVAR
Licenses: GPL 3+
Build system: r
Synopsis: Network Structures in VAR Models
Description:

Vector AutoRegressive (VAR) type models with tailored regularisation structures are provided to uncover network type structures in the data, such as influential time series (influencers). Currently the package implements the LISAR model from Zhang and Trimborn (2023) <doi:10.2139/ssrn.4619531>. The package automatically derives the required regularisation sequences and refines it during the estimation to provide the optimal model. The package allows for model optimisation under various loss functions such as Mean Squared Forecasting Error (MSFE), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). It provides a dedicated class, allowing for summary prints of the optimal model and a plotting function to conveniently analyse the optimal model via heatmaps.

r-npcs 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-smotefamily@1.4.0 r-nnet@7.3-20 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-formatr@1.14 r-foreach@1.5.2 r-forcats@1.0.1 r-dplyr@1.1.4 r-dfoptim@2023.1.0 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=npcs
Licenses: GPL 2
Build system: r
Synopsis: Neyman-Pearson Classification via Cost-Sensitive Learning
Description:

We connect the multi-class Neyman-Pearson classification (NP) problem to the cost-sensitive learning (CS) problem, and propose two algorithms (NPMC-CX and NPMC-ER) to solve the multi-class NP problem through cost-sensitive learning tools. Under certain conditions, the two algorithms are shown to satisfy multi-class NP properties. More details are available in the paper "Neyman-Pearson Multi-class Classification via Cost-sensitive Learning" (Ye Tian and Yang Feng, 2021).

r-noisemodel 1.0.2
Propagated dependencies: r-stringr@1.6.0 r-rsnns@0.4-18 r-rcolorbrewer@1.1-3 r-nnet@7.3-20 r-lsr@0.5.2 r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-extdist@0.7-4 r-e1071@1.7-16 r-classint@0.4-11 r-caret@7.0-1 r-c50@0.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=noisemodel
Licenses: GPL 3+
Build system: r
Synopsis: Noise Models for Classification Datasets
Description:

Implementation of models for the controlled introduction of errors in classification datasets. This package contains the noise models described in Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels, attributes and both simultaneously.

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