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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-polymatrix 0.9.16
Propagated dependencies: r-polynom@1.4-1 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/namezys/polymatrix
Licenses: Expat
Build system: r
Synopsis: Infrastructure for Manipulation Polynomial Matrices
Description:

Implementation of class "polyMatrix" for storing a matrix of polynomials and implements basic matrix operations; including a determinant and characteristic polynomial. It is based on the package polynom and uses a lot of its methods to implement matrix operations. This package includes 3 methods of triangularization of polynomial matrices: Extended Euclidean algorithm which is most classical but numerically unstable; Sylvester algorithm based on LQ decomposition; Interpolation algorithm is based on LQ decomposition and Newton interpolation. Both methods are described in D. Henrion & M. Sebek, Reliable numerical methods for polynomial matrix triangularization, IEEE Transactions on Automatic Control (Volume 44, Issue 3, Mar 1999, Pages 497-508) <doi:10.1109/9.751344> and in Salah Labhalla, Henri Lombardi & Roger Marlin, Algorithmes de calcule de la reduction de Hermite d'une matrice a coefficients polynomeaux, Theoretical Computer Science (Volume 161, Issue 1-2, July 1996, Pages 69-92) <doi:10.1016/0304-3975(95)00090-9>.

r-plotcli 0.2.0
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-r6@2.6.1 r-ggplot2@4.0.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/cheuerde/plotcli
Licenses: LGPL 3
Build system: r
Synopsis: Command Line Interface Plotting
Description:

The plotcli package provides terminal-based plotting in R. It supports colored scatter plots, line plots, bar plots, boxplots, histograms, density plots, and more. The ggplotcli() function is a universal converter that renders any ggplot2 plot in the terminal using Unicode Braille characters or ASCII. Features include support for 15+ geom types, faceting (facet_wrap/facet_grid), automatic theme detection, legends, optimized color mapping, and multiple canvas types.

r-pscr 1.1
Propagated dependencies: r-vgam@1.1-13 r-survival@3.8-3 r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PScr
Licenses: GPL 2+
Build system: r
Synopsis: Estimation for the Power Series Cure Rate Model
Description:

Provide estimation for particular cases of the power series cure rate model <doi:10.1080/03610918.2011.639971>. For the distribution of the concurrent causes the alternative models are the Poisson, logarithmic, negative binomial and Bernoulli (which are includes in the original work), the polylogarithm model <doi:10.1080/00949655.2018.1451850> and the Flory-Schulz <doi:10.3390/math10244643>. The estimation procedure is based on the EM algorithm discussed in <doi:10.1080/03610918.2016.1202276>. For the distribution of the time-to-event the alternative models are slash half-normal, Weibull, gamma and Birnbaum-Saunders distributions.

r-piecenorms 1.1.0
Propagated dependencies: r-vdiffr@1.0.8 r-univariateml@1.5.0 r-scales@1.4.0 r-rlang@1.1.6 r-r6@2.6.1 r-dplyr@1.1.4 r-coinr@1.1.14 r-classint@0.4-11
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/david-hammond/piecenorms
Licenses: Expat
Build system: r
Synopsis: Calculate a Piecewise Normalised Score Using Class Intervals
Description:

This package provides an implementation of piecewise normalisation techniques useful when dealing with the communication of skewed and highly skewed data. It also provides utilities that recommends a normalisation technique based on the distribution of the data.

r-provdebugr 1.0.1
Propagated dependencies: r-textutils@0.4-3 r-provparser@1.0 r-provgraphr@1.0.1 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=provDebugR
Licenses: GPL 3
Build system: r
Synopsis: Time-Travelling Debugger
Description:

Uses provenance post-execution to help the user understand and debug their script by providing functions to look at intermediate steps and data values, their forwards and backwards lineage, and to understand the steps leading up to warning and error messages. provDebugR uses provenance produced by rdtLite (available on CRAN), stored in PROV-JSON format.

r-pim 2.0.4
Propagated dependencies: r-nleqslv@3.3.5 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/CenterForStatistics-UGent/pim
Licenses: GPL 2+
Build system: r
Synopsis: Fit Probabilistic Index Models
Description:

Fit a probabilistic index model as described in Thas et al, 2012: <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the modeling function has changed in this new version. The old version is still available at R-Forge.

r-pder 1.0-2
Propagated dependencies: r-plm@2.6-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pder
Licenses: GPL 2+
Build system: r
Synopsis: Panel Data Econometrics with R
Description:

Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.

r-pm3 0.2.0
Propagated dependencies: r-tableone@0.13.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pm3
Licenses: GPL 3
Build system: r
Synopsis: Propensity Score Matching for Unordered 3-Group Data
Description:

You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) <doi:10.1080/00273171.2021.1925521>.

r-panelsur 0.1.0
Propagated dependencies: r-plm@2.6-7 r-matlib@1.0.1 r-mass@7.3-65 r-formula-tools@1.7.1 r-fastmatrix@0.6-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=panelSUR
Licenses: GPL 3+
Build system: r
Synopsis: Two-Way Error Component SUR Systems Estimation on Unbalanced Panel Data
Description:

Generalized Least Squares (GLS) estimation of Seemingly Unrelated Regression (SUR) systems on unbalanced panel in the one/two-way cases also taking into account the possibility of cross equation restrictions. Methodological details can be found in Biørn (2004) <doi:10.1016/j.jeconom.2003.10.023> and Platoni, Sckokai, Moro (2012) <doi:10.1080/07474938.2011.607098>.

r-prettycode 1.1.0
Propagated dependencies: r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/r-lib/prettycode#readme
Licenses: Expat
Build system: r
Synopsis: Pretty Print R Code in the Terminal
Description:

Replace the standard print method for functions with one that performs syntax highlighting, using ANSI colors, if the terminal supports them.

r-parsermd 0.2.0
Propagated dependencies: r-yaml@2.3.10 r-withr@3.0.2 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-s7@0.2.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-readr@2.1.6 r-rcpp@1.1.0 r-quarto@1.5.1 r-purrr@1.2.0 r-pillar@1.11.1 r-magrittr@2.0.4 r-fs@1.6.6 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rundel.github.io/parsermd/
Licenses: Expat
Build system: r
Synopsis: Formal Parser and Related Tools for R Markdown Documents
Description:

An implementation of a formal grammar and parser for R Markdown documents using the Boost Spirit X3 library. It also includes a collection of high level functions for working with the resulting abstract syntax tree.

r-pesel 0.7.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/psobczyk/pesel
Licenses: GPL 3
Build system: r
Synopsis: Automatic Estimation of Number of Principal Components in PCA
Description:

Automatic estimation of number of principal components in PCA with PEnalized SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan, Julie Josse "Bayesian dimensionality reduction with PCA using penalized semi-integrated likelihood" (2017) <doi:10.1080/10618600.2017.1340302>.

r-pkpdsim 1.4.1
Propagated dependencies: r-stringr@1.6.0 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-mass@7.3-65 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-data-table@1.17.8 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/InsightRX/PKPDsim
Licenses: Expat
Build system: r
Synopsis: Tools for Performing Pharmacokinetic-Pharmacodynamic Simulations
Description:

Simulate dose regimens for pharmacokinetic-pharmacodynamic (PK-PD) models described by differential equation (DE) systems. Simulation using ADVAN-style analytical equations is also supported (Abuhelwa et al. (2015) <doi:10.1016/j.vascn.2015.03.004>).

r-pwrss 1.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pwrss
Licenses: GPL 3+
Build system: r
Synopsis: Statistical Power and Sample Size Calculation Tools
Description:

The pwrss R package provides flexible and comprehensive functions for statistical power and minimum required sample size calculations across a wide range of commonly used hypothesis tests in psychological, biomedical, and social sciences.

r-physactbedrest 1.1
Propagated dependencies: r-stringr@1.6.0 r-lubridate@1.9.4 r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PhysActBedRest
Licenses: GPL 3+
Build system: r
Synopsis: Marks Periods of 'Bedrest' in Actigraph Accelerometer Data
Description:

This package contains a function to categorize accelerometer readings collected in free-living (e.g., for 24 hours/day for 7 days), preprocessed and compressed as counts (unit-less value) in a specified time period termed epoch (e.g., 1 minute) as either bedrest (sleep) or active. The input is a matrix with a timestamp column and a column with number of counts per epoch. The output is the same dataframe with an additional column termed bedrest. In the bedrest column each line (epoch) contains a function-generated classification br or a denoting bedrest/sleep and activity, respectively. The package is designed to be used after wear/nonwear marking function in the PhysicalActivity package. Version 1.1 adds preschool thresholds and corrects for possible errors in algorithm implementation.

r-pwr4exp 1.0.1
Propagated dependencies: r-numderiv@2016.8-1.1 r-nlme@3.1-168 r-matrix@1.7-4 r-mass@7.3-65 r-emmeans@2.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/an-ethz/pwr4exp
Licenses: GPL 2+
Build system: r
Synopsis: Power Analysis for Research Experiments
Description:

This package provides tools for calculating statistical power for experiments analyzed using linear mixed models. It supports standard designs, including randomized block, split-plot, and Latin Square designs, while offering flexibility to accommodate a variety of other complex study designs.

r-pedbuildr 0.3.0
Propagated dependencies: r-ribd@1.7.1 r-pedtools@2.10.0 r-pedprobr@1.0.1 r-pedmut@0.9.0 r-glue@1.8.0 r-forrel@1.8.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/magnusdv/pedbuildr
Licenses: GPL 3
Build system: r
Synopsis: Pedigree Reconstruction
Description:

Reconstruct pedigrees from genotype data, by optimising the likelihood over all possible pedigrees subject to given restrictions. Tailor-made plots facilitate evaluation of the output. This package is part of the pedsuite ecosystem for pedigree analysis. In particular, it imports pedprobr for calculating pedigree likelihoods and forrel for estimating pairwise relatedness.

r-path-analysis 0.1
Propagated dependencies: r-pastecs@1.4.2 r-metan@1.19.0 r-mathjaxr@1.8-0 r-hmisc@5.2-4 r-gplots@3.2.0 r-diagrammer@1.0.11 r-corrr@0.4.5 r-corrplot@0.95 r-complexheatmap@2.26.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/abeyran/Path.Analysis
Licenses: GPL 3
Build system: r
Synopsis: Path Coefficient Analysis
Description:

Facilitates the performance of several analyses, including simple and sequential path coefficient analysis, correlation estimate, drawing correlogram, Heatmap, and path diagram. When working with raw data, that includes one or more dependent variables along with one or more independent variables are available, the path coefficient analysis can be conducted. It allows for testing direct effects, which can be a vital indicator in path coefficient analysis. The process of preparing the dataset rule is explained in detail in the vignette file "Path.Analysis_manual.Rmd". You can find this in the folders labelled "data" and "~/inst/extdata". Also see: 1)the lavaan', 2)a sample of sequential path analysis in metan suggested by Olivoto and Lúcio (2020) <doi:10.1111/2041-210X.13384>, 3)the simple PATHSAS macro written in SAS by Cramer et al. (1999) <doi:10.1093/jhered/90.1.260>, and 4)the semPlot() function of OpenMx as initial tools for conducting path coefficient analyses and SEM (Structural Equation Modeling). To gain a comprehensive understanding of path coefficient analysis, both in theory and practice, see a Minitab macro developed by Arminian, A. in the paper by Arminian et al. (2008) <doi:10.1080/15427520802043182>.

r-picclip 0.1.0
Propagated dependencies: r-testthat@3.3.0 r-stringr@1.6.0 r-shiny@1.11.1 r-htmltools@0.5.8.1 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/deppemj/picClip
Licenses: GPL 3
Build system: r
Synopsis: Paste Box Input for 'Shiny'
Description:

This package provides a Shiny input widget, pasteBoxInput, that allows users to paste images directly into a Shiny application. The pasted images are captured as Base64 encoded strings and can be used within the application for various purposes, such as display or further processing. This package is particularly useful for applications that require easy and quick image uploads without the need for traditional file selection dialog boxes.

r-piglet 1.2.0
Propagated dependencies: r-zen4r@0.10.4 r-tigger@1.1.2 r-stringdist@0.9.15 r-rlang@1.1.6 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 r-r6@2.6.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-dendextend@1.19.1 r-decipher@3.6.0 r-data-table@1.17.8 r-cluster@2.1.8.1 r-circlize@0.4.16 r-biostrings@2.78.0 r-ape@5.8-1 r-alakazam@1.4.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=piglet
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: Program for Inferring Immunoglobulin Allele Similarity Clusters and Genotypes
Description:

Improves genotype inference and downstream Adaptive Immune Receptor Repertoire Sequence data analysis. Inference of allele similarity clusters, an alternative naming scheme and genotype inference for immunoglobulin heavy chain repertoires. The main tools are allele similarity clusters, and allele based genotype. The first tool is designed to reduce the ambiguity within the immunoglobulin heavy chain V alleles. The ambiguity is caused by duplicated or similar alleles which are shared among different genes. The second tool is an allele based genotype, that determined the presence of an allele based on a threshold derived from a naive population. See Peres et al. (2023) <doi:10.1093/nar/gkad603>.

r-phenex 1.4-5
Propagated dependencies: r-foreach@1.5.2 r-deoptim@2.2-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=phenex
Licenses: GPL 2+
Build system: r
Synopsis: Auxiliary Functions for Phenological Data Analysis
Description:

This package provides some easy-to-use functions for spatial analyses of (plant-) phenological data sets and satellite observations of vegetation.

r-paperplanes 0.0.1.9
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://gitlab.gwdg.de/aleha/paperplanes
Licenses: GPL 3
Build system: r
Synopsis: Distance Recordings from a Paper Plane Folding/Flying Experiment
Description:

This is a data only package, that provides distances from a paper plane experiment.

r-patternplot 2.0.0
Propagated dependencies: r-rcurl@1.98-1.17 r-rcppparallel@5.1.11-1 r-rcpp@1.1.0 r-r6@2.6.1 r-png@0.1-8 r-markdown@2.0 r-knitr@1.50 r-jpeg@0.1-11 r-gtable@0.3.6 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cairo@1.7-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=patternplot
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Versatile Pie Charts, Ring Charts, Bar Charts and Box Plots using Patterns, Colors and Images
Description:

This package creates aesthetically pleasing and informative pie charts, ring charts, bar charts and box plots with colors, patterns, and images.

r-partdsa 0.9.14
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=partDSA
Licenses: GPL 2
Build system: r
Synopsis: Partitioning Using Deletion, Substitution, and Addition Moves
Description:

This package provides a novel tool for generating a piecewise constant estimation list of increasingly complex predictors based on an intensive and comprehensive search over the entire covariate space.

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