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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-nmadta 0.1.2
Propagated dependencies: r-rjags@4-17 r-reshape2@1.4.5 r-rdpack@2.6.4 r-plotrix@3.8-13 r-mcmcpack@1.7-1 r-mass@7.3-65 r-ks@1.15.1 r-ggplot2@4.0.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NMADTA
Licenses: GPL 2+
Build system: r
Synopsis: Network Meta-Analysis of Multiple Diagnostic Tests
Description:

This package provides statistical methods for network meta-analysis of 1â 5 diagnostic tests to simultaneously compare multiple tests within a missing data framework, including: - Bayesian hierarchical model for network meta-analysis of multiple diagnostic tests (Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025>) - Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests (Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239>).

r-neuralnettools 1.5.3
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-reshape2@1.4.5 r-nnet@7.3-20 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=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-nullabor 0.3.15
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-purrr@1.2.0 r-moments@0.14.1 r-mass@7.3-65 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-fpc@2.2-13 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/dicook/nullabor
Licenses: GPL 2+
Build system: r
Synopsis: Tools for Graphical Inference
Description:

This package provides tools for visual inference. Generate null data sets and null plots using permutation and simulation. Calculate distance metrics for a lineup, and examine the distributions of metrics.

r-nuggets 2.1.2
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-testthat@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcpp@1.1.0 r-purrr@1.2.0 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-fastmatch@1.1-6 r-dplyr@1.1.4 r-cli@3.6.5 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://beerda.github.io/nuggets/
Licenses: GPL 3+
Build system: r
Synopsis: Extensible Framework for Data Pattern Exploration
Description:

This package provides a framework for systematic exploration of association rules (Agrawal et al., 1994, <https://www.vldb.org/conf/1994/P487.PDF>), contrast patterns (Chen, 2022, <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong et al., 1999, <doi:10.1145/312129.312191>), subgroup discovery (Atzmueller, 2015, <doi:10.1002/widm.1144>), and conditional correlations (Hájek, 1978, <doi:10.1007/978-3-642-66943-9>). User-defined functions may also be supplied to guide custom pattern searches. Supports both crisp (Boolean) and fuzzy data. Generates candidate conditions expressed as elementary conjunctions, evaluates them on a dataset, and inspects the induced sub-data for statistical, logical, or structural properties such as associations, correlations, or contrasts. Includes methods for visualization of logical structures and supports interactive exploration through integrated Shiny applications.

r-nutrition 1.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://wleoncio.github.io/nutrition/
Licenses: GPL 3+
Build system: r
Synopsis: Useful Functions for People on a Diet
Description:

This package contains a collection of functions for performing different kinds of calculation that are of interest to someone following a diet plan. Calculators for the Basal Metabolic Rate are based on Mifflin et al. (1990) <doi:10.1093/ajcn/51.2.241> and McArdle, W. D., Katch, F. I., & Katch, V. L. (2010, ISBN:9780812109917).

r-neonstore 0.5.1
Propagated dependencies: r-zip@2.3.3 r-vroom@1.6.6 r-thor@1.2.0 r-r-utils@2.13.0 r-progress@1.2.3 r-memoise@2.0.1 r-httr@1.4.7 r-glue@1.8.0 r-duckdbfs@0.1.2 r-duckdb@1.4.2 r-dbi@1.2.3 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=neonstore
Licenses: Expat
Build system: r
Synopsis: NEON Data Store
Description:

The National Ecological Observatory Network (NEON) provides access to its numerous data products through its REST API, <https://data.neonscience.org/data-api/>. This package provides a high-level user interface for downloading and storing NEON data products. Unlike neonUtilities', this package will avoid repeated downloading, provides persistent storage, and improves performance. neonstore can also construct a local duckdb database of stacked tables, making it possible to work with tables that are far to big to fit into memory.

r-nnlib2rcpp 0.2.9
Propagated dependencies: r-rcpp@1.1.0 r-class@7.3-23
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/VNNikolaidis/nnlib2Rcpp
Licenses: Expat
Build system: r
Synopsis: Tool for Creating Custom Neural Networks in C++ and using Them in R
Description:

This package contains a module to define neural networks from custom components and versions of Autoencoder, BP, LVQ, MAM NN.

r-nseq 0.1.1
Propagated dependencies: r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://rfsaldanha.github.io/nseq/
Licenses: Expat
Build system: r
Synopsis: Count of Sequential Events
Description:

Count the occurrence of sequences of values in a vector that meets certain conditions of length and magnitude. The method is based on the Run Length Encoding algorithm, available with base R, inspired by A. H. Robinson and C. Cherry (1967) <doi:10.1109/PROC.1967.5493>.

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-nestcolor 0.1.3
Propagated dependencies: r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://insightsengineering.github.io/nestcolor/
Licenses: ASL 2.0
Build system: r
Synopsis: Colors for NEST Graphs
Description:

Clinical reporting figures require to use consistent colors and configurations. As a part of the Roche open-source clinical reporting project, namely the NEST project, the nestcolor package specifies the color code and default theme with specifying ggplot2 theme parameters. Users can easily customize color and theme settings before using the reset of NEST packages to ensure consistent settings in both static and interactive output at the downstream.

r-nucim 1.0.13
Propagated dependencies: r-stringr@1.6.0 r-fields@17.1 r-ebimage@4.52.0 r-bioimagetools@1.1.9
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://bioimaginggroup.github.io/nucim/
Licenses: GPL 3
Build system: r
Synopsis: Nucleome Imaging Toolbox
Description:

This package provides tools for 4D nucleome imaging. Quantitative analysis of the 3D nuclear landscape recorded with super-resolved fluorescence microscopy. See Volker J. Schmid, Marion Cremer, Thomas Cremer (2017) <doi:10.1016/j.ymeth.2017.03.013>.

r-npstability 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 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://cran.r-project.org/package=NPStability
Licenses: GPL 3
Build system: r
Synopsis: Rank-Based Stability Index (RSI) for Genotype by Environment Studies
Description:

This package provides functions to compute the Rank-Based Stability Index (RSI) for genotype by environment interaction data, along with a genotype plus genotype-by-environment (GGE) style biplot visualization of stability.

r-netseer 0.1.2
Propagated dependencies: r-tsibble@1.1.6 r-tibble@3.3.0 r-rlang@1.1.6 r-matrix@1.7-4 r-lpsolve@5.6.23 r-igraph@2.2.1 r-future@1.68.0 r-forecast@8.24.0 r-fabletools@0.5.1 r-fable@0.5.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://sevvandi.github.io/netseer/
Licenses: GPL 3+
Build system: r
Synopsis: Graph Prediction from a Graph Time Series
Description:

Predicting the structure of a graph including new nodes and edges using a time series of graphs. Flux balance analysis, a linear and integer programming technique used in biochemistry is used with time series prediction methods to predict the graph structure at a future time point Kandanaarachchi (2025) <doi:10.48550/arXiv.2507.05806>.

r-nbshiny3 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=NBShiny3
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-nndiagram 1.0.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/ccfang2/nndiagram
Licenses: Expat
Build system: r
Synopsis: Generator of 'LaTeX' Code for Drawing Neural Network Diagrams with 'TikZ'
Description:

Generates LaTeX code for drawing well-formatted neural network diagrams with TikZ'. Users have to define number of neurons on each layer, and optionally define neuron connections they would like to keep or omit, layers they consider to be oversized and neurons they would like to draw with lighter color. They can also specify the title of diagram, color, opacity of figure, labels of layers, input and output neurons. In addition, this package helps to produce LaTeX code for drawing activation functions which are crucial in neural network analysis. To make the code work in a LaTeX editor, users need to install and import some TeX packages including TikZ in the setting of TeX file.

r-nmrphasing 1.0.7
Propagated dependencies: r-signal@1.8-1 r-massspecwavelet@1.76.0 r-baseline@1.3-7
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NMRphasing
Licenses: Expat
Build system: r
Synopsis: Phase Error Correction and Baseline Correction for One Dimensional ('1D') 'NMR' Data
Description:

There are three distinct approaches for phase error correction, they are: a single linear model with a choice of optimization functions, multiple linear models with optimization function choices and a shrinkage-based method. The methodology is based on our new algorithms and various references (Binczyk et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002) <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009) <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000) <doi:10.1006/jmre.2000.2123>, Ernst (1969) <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010) <doi:10.1366/000370210792434350>).

r-nplyr 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/jibarozzo/nplyr
Licenses: Expat
Build system: r
Synopsis: Grammar of Nested Data Manipulation
Description:

This package provides functions for manipulating nested data frames in a list-column using dplyr <https://dplyr.tidyverse.org/> syntax. Rather than unnesting, then manipulating a data frame, nplyr allows users to manipulate each nested data frame directly. nplyr is a wrapper for dplyr functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.

r-nglviewer 1.4.0
Propagated dependencies: r-shiny@1.11.1 r-magrittr@2.0.4 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/nvelden/NGLVieweR
Licenses: Expat
Build system: r
Synopsis: Interactive 3D Visualization of Molecular Structures
Description:

This package provides an htmlwidgets <https://www.htmlwidgets.org/> interface to NGL.js <http://nglviewer.org/ngl/api/>. NGLvieweR can be used to visualize and interact with protein databank ('PDB') and structural files in R and Shiny applications. It includes a set of API functions to manipulate the viewer after creation in Shiny.

r-netassoc 0.7.2
Propagated dependencies: r-vegan@2.7-2 r-infotheo@1.2.0.1 r-igraph@2.2.1 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=netassoc
Licenses: GPL 3
Build system: r
Synopsis: Inference of Species Associations from Co-Occurrence Data
Description:

This package infers species associations from community matrices. Uses local and (optional) regional-scale co-occurrence data by comparing observed partial correlation coefficients between species to those estimated from regional species distributions. Extends Gaussian graphical models to a null modeling framework. Provides interface to a variety of inverse covariance matrix estimation methods.

r-nfl4th 1.0.4
Propagated dependencies: r-xgboost@1.7.11.1 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-nflreadr@1.5.0 r-nflfastr@5.1.0 r-mgcv@1.9-4 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4 r-curl@7.0.0 r-backports@1.5.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://www.nfl4th.com/
Licenses: Expat
Build system: r
Synopsis: Functions to Calculate Optimal Fourth Down Decisions in the National Football League
Description:

This package provides a set of functions to estimate outcomes of fourth down plays in the National Football League and obtain fourth down plays from <https://www.nfl.com/> and <https://www.espn.com/>.

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-numberofalleles 1.0.1
Propagated dependencies: r-ribd@1.7.1 r-rcpp@1.1.0 r-pedtools@2.10.0 r-partitions@1.10-9
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=numberofalleles
Licenses: GPL 2+
Build system: r
Synopsis: Compute the Probability Distribution of the Number of Alleles in a DNA Mixture
Description:

The number of distinct alleles observed in a DNA mixture is informative of the number of contributors to the mixture. The package provides methods for computing the probability distribution of the number of distinct alleles in a mixture for a given set of allele frequencies. The mixture contributors may be related according to a provided pedigree.

r-nntbiomarker 0.29.11
Propagated dependencies: r-xtable@1.8-4 r-stringr@1.6.0 r-shiny@1.11.1 r-mvbutils@2.8.232 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=NNTbiomarker
Licenses: GPL 3
Build system: r
Synopsis: Calculate Design Parameters for Biomarker Validation Studies
Description:

Helps a clinical trial team discuss the clinical goals of a well-defined biomarker with a diagnostic, staging, prognostic, or predictive purpose. From this discussion will come a statistical plan for a (non-randomized) validation trial. Both prospective and retrospective trials are supported. In a specific focused discussion, investigators should determine the range of "discomfort" for the NNT, number needed to treat. The meaning of the discomfort range, [NNTlower, NNTupper], is that within this range most physicians would feel discomfort either in treating or withholding treatment. A pair of NNT values bracketing that range, NNTpos and NNTneg, become the targets of the study's design. If the trial can demonstrate that a positive biomarker test yields an NNT less than NNTlower, and that a negative biomarker test yields an NNT less than NNTlower, then the biomarker may be useful for patients. A highlight of the package is visualization of a "contra-Bayes" theorem, which produces criteria for retrospective case-controls studies.

r-nosoi 1.1.2
Propagated dependencies: r-raster@3.6-32 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://github.com/slequime/nosoi
Licenses: GPL 3
Build system: r
Synopsis: Forward Agent-Based Transmission Chain Simulator
Description:

The aim of nosoi (pronounced no.si) is to provide a flexible agent-based stochastic transmission chain/epidemic simulator (Lequime et al. Methods in Ecology and Evolution 11:1002-1007). It is named after the daimones of plague, sickness and disease that escaped Pandora's jar in the Greek mythology. nosoi is able to take into account the influence of multiple variable on the transmission process (e.g. dual-host systems (such as arboviruses), within-host viral dynamics, transportation, population structure), alone or taken together, to create complex but relatively intuitive epidemiological simulations.

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