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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-neonsoilflux 3.0.0
Propagated dependencies: r-tidyselect@1.2.1 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-neonutilities@3.0.3 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/jmzobitz/neonSoilFlux
Licenses: GPL 3+
Build system: r
Synopsis: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites
Description:

Acquires and synthesizes soil carbon fluxes at sites located in the National Ecological Observatory Network (NEON). Provides flux estimates and associated uncertainty as well as key environmental measurements (soil water, temperature, CO2 concentration) that are used to compute soil fluxes.

r-nametagger 0.1.6
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/bnosac/nametagger
Licenses: FSDG-compatible
Build system: r
Synopsis: Named Entity Recognition in Texts using 'NameTag'
Description:

Wraps the nametag library <https://github.com/ufal/nametag>, allowing users to find and extract entities (names, persons, locations, addresses, ...) in raw text and build your own entity recognition models. Based on a maximum entropy Markov model which is described in Strakova J., Straka M. and Hajic J. (2013) <https://ufal.mff.cuni.cz/~straka/papers/2013-tsd_ner.pdf>.

r-neuroup 0.3.1
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-psychometric@2.4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-bootstrap@2019.6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://eduardklap.github.io/neuroUp/
Licenses: Expat
Build system: r
Synopsis: Plan Sample Size for Task fMRI Research using Bayesian Updating
Description:

Calculate the precision in mean differences (raw or Cohen's D) and correlation coefficients for different sample sizes. Uses permutations of the collected functional magnetic resonance imaging (fMRI) region of interest data. Method described in Klapwijk, Jongerling, Hoijtink and Crone (2024) <doi:10.31234/osf.io/cz32t>.

r-neo2r 2.4.2
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/patzaw/neo2r
Licenses: GPL 3
Build system: r
Synopsis: Neo4j to R
Description:

The aim of neo2R is to provide simple and low level connectors for querying neo4j graph databases (<https://neo4j.com/>). The objects returned by the query functions are either lists or data.frames with very few post-processing. It allows fast processing of queries returning many records. And it let the user handle post-processing according to the data model and his needs.

r-nlwaldtest 1.1.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlWaldTest
Licenses: GPL 2+
Build system: r
Synopsis: Wald Test of Nonlinear Restrictions and Nonlinear CI
Description:

Wald Test for nonlinear restrictions on model parameters and confidence intervals for nonlinear functions of parameters using delta-method. Applicable after ANY model, provided parameters estimates and their covariance matrix are available.

r-nev 1.0.0.0
Propagated dependencies: r-pracma@2.4.6 r-fourierin@0.2.5 r-extradistr@1.10.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nev
Licenses: GPL 3+
Build system: r
Synopsis: Draw Nested Extreme Value Random Variables
Description:

Draw nested extreme value random variables, which are the variables that appear in the latent variable formulation of the nested logit model.

r-nlnet 1.4
Propagated dependencies: r-tsp@1.2.6 r-rocr@1.0-11 r-randomforest@4.7-1.2 r-igraph@2.2.1 r-fdrtool@1.2.18 r-earth@5.3.4 r-e1071@1.7-16 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlnet
Licenses: GPL 2+
Build system: r
Synopsis: Nonlinear Network, Clustering, and Variable Selection Based on DCOL
Description:

It includes four methods: DCOL-based K-profiles clustering, non-linear network reconstruction, non-linear hierarchical clustering, and variable selection for generalized additive model. References: Tianwei Yu (2018)<DOI: 10.1002/sam.11381>; Haodong Liu and others (2016)<DOI: 10.1371/journal.pone.0158247>; Kai Wang and others (2015)<DOI: 10.1155/2015/918954>; Tianwei Yu and others (2010)<DOI: 10.1109/TCBB.2010.73>.

r-nlmixr2data 2.0.9
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nlmixr2.github.io/nlmixr2data/
Licenses: GPL 3+
Build system: r
Synopsis: Nonlinear Mixed Effects Models in Population PK/PD, Data
Description:

Datasets for nlmixr2 and rxode2'. nlmixr2 is used for fitting and comparing 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>).

r-ngram 3.2.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/wrathematics/ngram
Licenses: FSDG-compatible
Build system: r
Synopsis: Fast n-Gram 'Tokenization'
Description:

An n-gram is a sequence of n "words" taken, in order, from a body of text. This is a collection of utilities for creating, displaying, summarizing, and "babbling" n-grams. The tokenization and "babbling" are handled by very efficient C code, which can even be built as its own standalone library. The babbler is a simple Markov chain. The package also offers a vignette with complete example workflows and information about the utilities offered in the package.

r-nadiv 2.18.0
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/matthewwolak/nadiv
Licenses: GPL 2+
Build system: r
Synopsis: (Non)Additive Genetic Relatedness Matrices
Description:

Constructs (non)additive genetic relationship matrices, and their inverses, from a pedigree to be used in linear mixed effect models (A.K.A. the animal model'). Also includes other functions to facilitate the use of animal models. Some functions have been created to be used in conjunction with the R package asreml for the ASReml software, which can be obtained upon purchase from VSN international (<https://vsni.co.uk/software/asreml>).

r-nnfor 0.9.9
Propagated dependencies: r-uroot@2.1-3 r-tsutils@0.9.4 r-plotrix@3.8-13 r-neuralnet@1.44.2 r-mass@7.3-65 r-glmnet@4.1-10 r-generics@0.1.4 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://kourentzes.com/forecasting/2019/01/16/tutorial-for-the-nnfor-r-package/
Licenses: GPL 3
Build system: r
Synopsis: Time Series Forecasting with Neural Networks
Description:

Automatic time series modelling with neural networks. Allows fully automatic, semi-manual or fully manual specification of networks. For details of the specification methodology see: (i) Crone and Kourentzes (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014) <doi:10.1016/j.eswa.2013.12.011>.

r-nuts 1.1.0
Propagated dependencies: r-rlang@1.1.6 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://docs.ropensci.org/nuts/
Licenses: Expat
Build system: r
Synopsis: Convert European Regional Data
Description:

Motivated by changing administrative boundaries over time, the nuts package can convert European regional data with NUTS codes between versions (2006, 2010, 2013, 2016 and 2021) and levels (NUTS 1, NUTS 2 and NUTS 3). The package uses spatial interpolation as in Lam (1983) <doi:10.1559/152304083783914958> based on granular (100m x 100m) area, population and land use data provided by the European Commission's Joint Research Center.

r-nlsr 2023.8.31
Propagated dependencies: r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlsr
Licenses: GPL 2
Build system: r
Synopsis: Functions for Nonlinear Least Squares Solutions - Updated 2022
Description:

This package provides tools for working with nonlinear least squares problems. For the estimation of models reliable and robust tools than nls(), where the the Gauss-Newton method frequently stops with singular gradient messages. This is accomplished by using, where possible, analytic derivatives to compute the matrix of derivatives and a stabilization of the solution of the estimation equations. Tools for approximate or externally supplied derivative matrices are included. Bounds and masks on parameters are handled properly.

r-nlstac 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-foreach@1.5.2 r-deriv@4.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlstac
Licenses: GPL 3
Build system: r
Synopsis: An R Package for Fitting Separable Nonlinear Models
Description:

Set of functions implementing the algorithm described in Fernandez Torvisco et al. (2018) for fitting separable nonlinear regression curves. See Fernandez Torvisco, Rodriguez-Arias Fernandez and Cabello Sanchez (2018) <doi:10.2298/FIL1812233T>.

r-normaliser 0.1.2
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://hendersontrent.github.io/normaliseR/
Licenses: Expat
Build system: r
Synopsis: Re-Scale Vectors and Time-Series Features
Description:

This package provides standardized access to a range of re-scaling methods for numerical vectors and time-series features calculated within the theft ecosystem.

r-nlcoptim 0.6
Propagated dependencies: r-quadprog@1.5-8 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NlcOptim
Licenses: GPL 3
Build system: r
Synopsis: Solve Nonlinear Optimization with Nonlinear Constraints
Description:

Optimization for nonlinear objective and constraint functions. Linear or nonlinear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix.

r-nmof 2.11-0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://enricoschumann.net/NMOF.htm
Licenses: GPL 3
Build system: r
Synopsis: Numerical Methods and Optimization in Finance
Description:

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). The package provides implementations of optimisation heuristics (Differential Evolution, Genetic Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold Accepting), and other optimisation tools, such as grid search and greedy search. There are also functions for the valuation of financial instruments such as bonds and options, for portfolio selection and functions that help with stochastic simulations.

r-normmix 0.2-0
Propagated dependencies: r-sfsmisc@1.1-23 r-mvtnorm@1.3-3 r-mclust@6.1.2 r-mass@7.3-65 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=norMmix
Licenses: GPL 3+
Build system: r
Synopsis: Direct MLE for Multivariate Normal Mixture Distributions
Description:

Multivariate Normal (i.e. Gaussian) Mixture Models (S3) Classes. Fitting models to data using MLE (maximum likelihood estimation) for multivariate normal mixtures via smart parametrization using the LDL (Cholesky) decomposition, see McLachlan and Peel (2000, ISBN:9780471006268), Celeux and Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>.

r-networkinference 1.2.5
Propagated dependencies: r-rcppprogress@0.4.2 r-rcpp@1.1.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-checkmate@2.3.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NetworkInference
Licenses: Expat
Build system: r
Synopsis: Inferring Latent Diffusion Networks
Description:

This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.

r-nilsier 0.1.1
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/envisim/nilsier/
Licenses: AGPL 3
Build system: r
Synopsis: Design-Based Estimators for NILS
Description:

Estimators and variance estimators tailored to the NILS hierarchical design (Adler et al. 2020, <https://res.slu.se/id/publ/105630>; Grafström et al. 2023, <https://res.slu.se/id/publ/128235>). The National Inventories of Landscapes in Sweden (NILS) is a long-term national monitoring program that collects, analyses and presents data on Swedish nature, covering both common and rare habitats <https://www.slu.se/om-slu/organisation/institutioner/skoglig-resurshushallning/miljoanalys/nils/>.

r-noisyce2 1.1.0
Propagated dependencies: r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.flaviosanti.it/software/noisyCE2
Licenses: GPL 2+
Build system: r
Synopsis: Cross-Entropy Optimisation of Noisy Functions
Description:

Cross-Entropy optimisation of unconstrained deterministic and noisy functions illustrated in Rubinstein and Kroese (2004, ISBN: 978-1-4419-1940-3) through a highly flexible and customisable function which allows user to define custom variable domains, sampling distributions, updating and smoothing rules, and stopping criteria. Several built-in methods and settings make the package very easy-to-use under standard optimisation problems.

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-nparact 0.9.1
Propagated dependencies: r-zoo@1.8-14 r-stringr@1.6.0 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=nparACT
Licenses: GPL 3
Build system: r
Synopsis: Non-Parametric Measures of Actigraphy Data
Description:

Computes interdaily stability (IS), intradaily variability (IV) & the relative amplitude (RA) from actigraphy data as described in Blume et al. (2016) <doi: 10.1016/j.mex.2016.05.006> and van Someren et al. (1999) <doi: 10.3109/07420529908998724>. Additionally, it also computes L5 (i.e. the 5 hours with lowest average actigraphy amplitude) and M10 (the 10 hours with highest average amplitude) as well as the respective start times. The flex versions will also compute the L-value for a user-defined number of minutes. IS describes the strength of coupling of a rhythm to supposedly stable zeitgebers. It varies between 0 (Gaussian Noise) and 1 for perfect IS. IV describes the fragmentation of a rhythm, i.e. the frequency and extent of transitions between rest and activity. It is near 0 for a perfect sine wave, about 2 for Gaussian noise and may be even higher when a definite ultradian period of about 2 hrs is present. RA is the relative amplitude of a rhythm. Note that to obtain reliable results, actigraphy data should cover a reasonable number of days.

r-networkreg 2.0
Propagated dependencies: r-rspectra@0.16-2 r-randnet@1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NetworkReg
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Linear Regression Models on Network-Linked Data with Statistical Inference
Description:

Linear regression model and generalized linear models with nonparametric network effects on network-linked observations. The model is originally proposed by Le and Li (2022) <doi:10.48550/arXiv.2007.00803> and is assumed on observations that are connected by a network or similar relational data structure. A more recent work by Wang, Le and Li (2024) <doi:10.48550/arXiv.2410.01163> further extends the framework to generalized linear models. All these models are implemented in the current package. The model does not assume that the relational data or network structure to be precisely observed; thus, the method is provably robust to a certain level of perturbation of the network structure. The package contains the estimation and inference function for the model.

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Total results: 68655