_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-netclust 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=netClust
Licenses: GPL 2+
Synopsis: Model-Based Clustering of Network Data
Description:

Clustering unilayer and multilayer network data by means of finite mixtures is the main utility of netClust'.

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+
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-ngramrr 0.2.0
Propagated dependencies: r-tm@0.7-16 r-tau@0.0-26
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/chainsawriot/ngramrr
Licenses: GPL 2
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-nestfs 1.0.3
Propagated dependencies: r-proc@1.19.0.1 r-dgof@1.5.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/mcol/nestfs
Licenses: GPL 2 FSDG-compatible
Synopsis: Cross-Validated (Nested) Forward Selection
Description:

Implementation of forward selection based on cross-validated linear and logistic regression.

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
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-nna 0.0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nna
Licenses: GPL 2+
Synopsis: Nearest-Neighbor Analysis
Description:

Calculates spatial pattern analysis using a T-square sample procedure. This method is based on two measures "x" and "y". "x" - Distance from the random point to the nearest individual. "y" - Distance from individual to its nearest neighbor. This is a methodology commonly used in phytosociology or marine benthos ecology to analyze the species distribution (random, uniform or clumped patterns). Ludwig & Reynolds (1988, ISBN:0471832359).

r-nortstest 1.1.3
Propagated dependencies: r-zoo@1.8-14 r-uroot@2.1-3 r-tseries@0.10-58 r-nortest@1.0-4 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1 r-forecast@8.24.0 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/asael697/nortsTest
Licenses: GPL 2
Synopsis: Assessing Normality of Stationary Process
Description:

Despite that several tests for normality in stationary processes have been proposed in the literature, consistent implementations of these tests in programming languages are limited. Seven normality test are implemented. The asymptotic Lobato & Velasco's, asymptotic Epps, Psaradakis and Vávra, Lobato & Velasco's and Epps sieve bootstrap approximations, El bouch et al., and the random projections tests for univariate stationary process. Some other diagnostics such as, unit root test for stationarity, seasonal tests for seasonality, and arch effect test for volatility; are also performed. Additionally, the El bouch test performs normality tests for bivariate time series. The package also offers residual diagnostic for linear time series models developed in several packages.

r-nodesub 1.2.9
Propagated dependencies: r-tracerer@2.2.3 r-tibble@3.3.0 r-testit@0.13 r-stringr@1.6.0 r-rmpfr@1.1-2 r-rcpp@1.1.0 r-rappdirs@0.3.3 r-phylobase@0.8.12 r-phangorn@2.12.1 r-pbapply@1.7-4 r-lifecycle@1.0.4 r-geiger@2.0.11 r-ddd@5.2.4 r-beautier@2.6.12 r-beastier@2.5.2 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/thijsjanzen/nodeSub
Licenses: GPL 3
Synopsis: Simulate DNA Alignments Using Node Substitutions
Description:

Simulate DNA sequences for the node substitution model. In the node substitution model, substitutions accumulate additionally during a speciation event, providing a potential mechanistic explanation for substitution rate variation. This package provides tools to simulate such a process, simulate a reference process with only substitutions along the branches, and provides tools to infer phylogenies from alignments. More information can be found in Janzen (2021) <doi:10.1093/sysbio/syab085>.

r-networkabc 0.9-1
Propagated dependencies: r-sna@2.8 r-rcolorbrewer@1.1-3 r-network@1.19.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://fbertran.github.io/networkABC/
Licenses: GPL 3
Synopsis: Network Reverse Engineering with Approximate Bayesian Computation
Description:

We developed an inference tool based on approximate Bayesian computation to decipher network data and assess the strength of the inferred links between network's actors. It is a new multi-level approximate Bayesian computation (ABC) approach. At the first level, the method captures the global properties of the network, such as a scale-free structure and clustering coefficients, whereas the second level is targeted to capture local properties, including the probability of each couple of genes being linked. Up to now, Approximate Bayesian Computation (ABC) algorithms have been scarcely used in that setting and, due to the computational overhead, their application was limited to a small number of genes. On the contrary, our algorithm was made to cope with that issue and has low computational cost. It can be used, for instance, for elucidating gene regulatory network, which is an important step towards understanding the normal cell physiology and complex pathological phenotype. Reverse-engineering consists in using gene expressions over time or over different experimental conditions to discover the structure of the gene network in a targeted cellular process. The fact that gene expression data are usually noisy, highly correlated, and have high dimensionality explains the need for specific statistical methods to reverse engineer the underlying network.

r-neuroim 0.0.6
Propagated dependencies: r-yaimpute@1.0-34.1 r-stringr@1.6.0 r-rgl@1.3.31 r-readr@2.1.6 r-rcpp@1.1.0 r-matrix@1.7-4 r-iterators@1.0.14 r-hash@2.2.6.3 r-assertthat@0.2.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=neuroim
Licenses: GPL 2+
Synopsis: Data Structures and Handling for Neuroimaging Data
Description:

This package provides a collection of data structures that represent volumetric brain imaging data. The focus is on basic data handling for 3D and 4D neuroimaging data. In addition, there are function to read and write NIFTI files and limited support for reading AFNI files.

r-nhanesa 1.4.1
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-rvest@1.0.5 r-plyr@1.8.9 r-foreign@0.8-90 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=nhanesA
Licenses: GPL 2+
Synopsis: NHANES Data Retrieval
Description:

Utility to retrieve data from the National Health and Nutrition Examination Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/>.

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+
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-numosl 2.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://CRAN.R-project.org/package=numOSL
Licenses: GPL 3
Synopsis: Numeric Routines for Optically Stimulated Luminescence Dating
Description:

Optimizing regular numeric problems in optically stimulated luminescence dating, such as: equivalent dose calculation, dose rate determination, growth curve fitting, decay curve decomposition, statistical age model optimization, and statistical plot visualization.

r-normalityassessment 0.1.1
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7 r-shinybs@0.61.1 r-shinyalert@3.1.0 r-shiny@1.11.1 r-rmatio@0.19.0 r-rio@1.2.4 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/ccasement/NormalityAssessment
Licenses: Expat
Synopsis: Graphical User Interface for Testing Normality Visually
Description:

Package including an interactive Shiny application for testing normality visually.

r-neonos 1.1.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/NEONScience/NEON-OS-data-processing
Licenses: AGPL 3
Synopsis: Basic Data Wrangling for NEON Observational Data
Description:

NEON observational data are provided via the NEON Data Portal <https://www.neonscience.org> and NEON API, and can be downloaded and reformatted by the neonUtilities package. NEON observational data (human-observed measurements, and analyses derived from human-collected samples, such as tree diameters and algal chemistry) are published in a format consisting of one or more tabular data files. This package provides tools for performing common operations on NEON observational data, including checking for duplicates and joining tables.

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
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-netknitr 0.2.1
Propagated dependencies: r-visnetwork@2.1.4 r-shinydashboard@0.7.3 r-shiny@1.11.1 r-openxlsx@4.2.8.1 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=netknitr
Licenses: GPL 3
Synopsis: Knit Network Map for any Dataset
Description:

Designed to create interactive and visually compelling network maps using R Shiny. It allows users to quickly analyze CSV files and visualize complex relationships, structures, and connections within data by leveraging powerful network analysis libraries and dynamic web interfaces.

r-neutrosurvey 0.1.0
Propagated dependencies: r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=neutroSurvey
Licenses: GPL 3
Synopsis: Neutrosophic Survey Data Analysis
Description:

Apply neutrosophic regression type estimator and performs neutrosophic interval analysis including metric calculations for survey data.

r-not 1.6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=not
Licenses: GPL 2
Synopsis: Narrowest-Over-Threshold Change-Point Detection
Description:

This package provides efficient implementation of the Narrowest-Over-Threshold methodology for detecting an unknown number of change-points occurring at unknown locations in one-dimensional data following deterministic signal + noise model. Currently implemented scenarios are: piecewise-constant signal, piecewise-constant signal with a heavy-tailed noise, piecewise-linear signal, piecewise-quadratic signal, piecewise-constant signal and with piecewise-constant variance of the noise. For details, see Baranowski, Chen and Fryzlewicz (2019) <doi:10.1111/rssb.12322>.

r-nombre 0.4.1
Propagated dependencies: r-fracture@0.2.2
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://nombre.rossellhayes.com
Licenses: Expat
Synopsis: Number Names
Description:

Converts numeric vectors to character vectors of English number names. Provides conversion to cardinals, ordinals, numerators, and denominators. Supports negative and non-integer numbers.

r-nlt 2.2-2
Propagated dependencies: r-ebayesthresh@1.4-12 r-adlift@1.4-6
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nlt
Licenses: GPL 2+ GPL 3+
Synopsis: Nondecimated Lifting Transform for Signal Denoising
Description:

Uses a modified lifting algorithm on which it builds the nondecimated lifting transform. It has applications in wavelet shrinkage.

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+
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-npistats 0.1.0
Propagated dependencies: 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=NPIstats
Licenses: GPL 3
Synopsis: Nonparametric Predictive Inference
Description:

An implementation of the Nonparametric Predictive Inference approach in R. It provides tools for quantifying uncertainty via lower and upper probabilities. It includes useful functions for pairwise and multiple comparisons: comparing two groups with and without terminated tails, selecting the best group, selecting the subset of best groups, selecting the subset including the best group.

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
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>.

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Total results: 68249