_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-psvd 1.1-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psvd
Licenses: GPL 2+
Build system: r
Synopsis: Eigendecomposition, Singular-Values and the Power Method
Description:

For a data matrix with m rows and n columns (m>=n), the power method is used to compute, simultaneously, the eigendecomposition of a square symmetric matrix. This result is used to obtain the singular value decomposition (SVD) and the principal component analysis (PCA) results. Compared to the classical SVD method, the first r singular values can be computed.

r-primer 1.2.0
Propagated dependencies: r-tidyr@1.3.1 r-ggplot2@4.0.1 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=primer
Licenses: GPL 3
Build system: r
Synopsis: Functions and Data for the Book, a Primer of Ecology with R
Description:

This package provides functions are primarily functions for systems of ordinary differential equations, difference equations, and eigenanalysis and projection of demographic matrices; data are for examples.

r-profoc 1.3.4
Propagated dependencies: r-tibble@3.3.0 r-splines2@0.5.4 r-rcpptimer@1.2.1 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-generics@0.1.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://profoc.berrisch.biz
Licenses: GPL 3+
Build system: r
Synopsis: Probabilistic Forecast Combination Using CRPS Learning
Description:

Combine probabilistic forecasts using CRPS learning algorithms proposed in Berrisch, Ziel (2021) <doi:10.48550/arXiv.2102.00968> <doi:10.1016/j.jeconom.2021.11.008>. The package implements multiple online learning algorithms like Bernstein online aggregation; see Wintenberger (2014) <doi:10.48550/arXiv.1404.1356>. Quantile regression is also implemented for comparison purposes. Model parameters can be tuned automatically with respect to the loss of the forecast combination. Methods like predict(), update(), plot() and print() are available for convenience. This package utilizes the optim C++ library for numeric optimization <https://github.com/kthohr/optim>.

r-pcv 1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/svkucheryavski/pcv
Licenses: Expat
Build system: r
Synopsis: Procrustes Cross-Validation
Description:

This package implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.

r-public-ctn0094extra 1.0.4
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-purrr@1.2.0 r-public-ctn0094data@1.1.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://ctn-0094.github.io/public.ctn0094extra/
Licenses: Expat
Build system: r
Synopsis: Helper Files for the CTN-0094 Relational Database
Description:

Engineered features and "helper" functions ancillary to the public.ctn0094data package, extending this package for ease of use (see <https://CRAN.R-project.org/package=public.ctn0094data>). This public.ctn0094data package contains harmonized datasets from some of the National Institute of Drug Abuse's Clinical Trials Network (NIDA's CTN) projects. Specifically, the CTN-0094 project is to harmonize and de-identify clinical trials data from the CTN-0027, CTN-0030, and CTN-51 studies for opioid use disorder. This current version is built from public.ctn0094data v. 1.0.6.

r-paleomorph 0.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/timcdlucas/paleomorph/
Licenses: Expat
Build system: r
Synopsis: Geometric Morphometric Tools for Paleobiology
Description:

Fill missing symmetrical data with mirroring, calculate Procrustes alignments with or without scaling, and compute standard or vector correlation and covariance matrices (congruence coefficients) of 3D landmarks. Tolerates missing data for all analyses.

r-pacu 0.1.74
Propagated dependencies: r-xml@3.99-0.20 r-units@1.0-0 r-tmap@4.2 r-stars@0.6-8 r-sf@1.0-23 r-jsonlite@2.0.0 r-httr@1.4.7 r-gstat@2.1-4 r-concaveman@1.2.0 r-apsimx@2.8.235
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pacu
Licenses: GPL 3+
Build system: r
Synopsis: Precision Agriculture Computational Utilities
Description:

Support for a variety of commonly used precision agriculture operations. Includes functions to download and process raw satellite images from Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>. Includes functions that download vegetation index statistics for a given period of time, without the need to download the raw images <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>. There are also functions to download and visualize weather data in a historical context. Lastly, the package also contains functions to process yield monitor data. These functions can build polygons around recorded data points, evaluate the overlap between polygons, clean yield data, and smooth yield maps.

r-proustr 0.4.0
Propagated dependencies: r-tokenizers@0.3.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-snowballc@0.7.1 r-rlang@1.1.6 r-attempt@0.3.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ColinFay/proustr
Licenses: Expat
Build system: r
Synopsis: Tools for Natural Language Processing in French
Description:

This package provides tools for Natural Language Processing in French and texts from Marcel Proust's collection "A La Recherche Du Temps Perdu". The novels contained in this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La Prisonniere", "Albertine disparue", and "Le Temps retrouve".

r-pcode 0.9.4
Propagated dependencies: r-pracma@2.4.6 r-mass@7.3-65 r-fda@6.3.0 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/alex-haixuw/PCODE
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Estimation of an Ordinary Differential Equation Model by Parameter Cascade Method
Description:

An implementation of the parameter cascade method in Ramsay, J. O., Hooker,G., Campbell, D., and Cao, J. (2007) for estimating ordinary differential equation models with missing or complete observations. It combines smoothing method and profile estimation to estimate any non-linear dynamic system. The package also offers variance estimates for parameters of interest based on either bootstrap or Delta method.

r-primal 1.0.3
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PRIMAL
Licenses: GPL 2+
Build system: r
Synopsis: Parametric Simplex Method for Sparse Learning
Description:

This package implements a unified framework of parametric simplex method for a variety of sparse learning problems (e.g., Dantzig selector (for linear regression), sparse quantile regression, sparse support vector machines, and compressive sensing) combined with efficient hyper-parameter selection strategies. The core algorithm is implemented in C++ with Eigen3 support for portable high performance linear algebra. For more details about parametric simplex method, see Haotian Pang (2017) <https://papers.nips.cc/paper/6623-parametric-simplex-method-for-sparse-learning.pdf>.

r-purrrlyr 0.0.10
Propagated dependencies: r-rcpp@1.1.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/hadley/purrrlyr
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Tools at the Intersection of 'purrr' and 'dplyr'
Description:

Some functions at the intersection of dplyr and purrr that formerly lived in purrr'.

r-prosper 0.3.3
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PROSPER
Licenses: GPL 3
Build system: r
Synopsis: Simulation of Weed Population Dynamics
Description:

An environment to simulate the development of annual plant populations with regard to population dynamics and genetics, especially herbicide resistance. It combines genetics on the individual level (Renton et al. 2011) with a stochastic development on the population level (Daedlow, 2015). Renton, M, Diggle, A, Manalil, S and Powles, S (2011) <doi:10.1016/j.jtbi.2011.05.010> Daedlow, Daniel (2015, doctoral dissertation: University of Rostock, Faculty of Agriculture and Environmental Sciences.).

r-prefio 0.2.0
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/fleverest/prefio/
Licenses: GPL 3
Build system: r
Synopsis: Structures for Preference Data
Description:

Convenient structures for creating, sourcing, reading, writing and manipulating ordinal preference data. Methods for writing to/from PrefLib formats. See Nicholas Mattei and Toby Walsh "PrefLib: A Library of Preference Data" (2013) <doi:10.1007/978-3-642-41575-3_20>.

r-populater 1.13
Propagated dependencies: r-withr@3.0.2 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-sn@2.1.1 r-rlang@1.1.6 r-plyr@1.8.9 r-pearsonds@1.3.2 r-magrittr@2.0.4 r-igraph@2.2.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-braingraph@3.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/programgirl/PopulateR
Licenses: GPL 3
Build system: r
Synopsis: Create Data Frames for the Micro-Simulation of Human Populations
Description:

This package provides tools for constructing detailed synthetic human populations from frequency tables. Add ages based on age groups and sex, create households, add students to education facilities, create employers, add employers to employees, and create interpersonal networks.

r-pharmaverseadam 1.3.0
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pharmaverse.github.io/pharmaverseadam/
Licenses: FSDG-compatible
Build system: r
Synopsis: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description:

This package provides a set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the pharmaversesdtm package and the template scripts from the admiral family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.

r-partitionmetric 1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=partitionMetric
Licenses: FreeBSD
Build system: r
Synopsis: Compute a distance metric between two partitions of a set
Description:

partitionMetric computes a distance between two partitions of a set.

r-pmultinom 1.0.0
Propagated dependencies: r-fftw@1.0-9
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pmultinom
Licenses: AGPL 3
Build system: r
Synopsis: One-Sided Multinomial Probabilities
Description:

This package implements multinomial CDF (P(N1<=n1, ..., Nk<=nk)) and tail probabilities (P(N1>n1, ..., Nk>nk)), as well as probabilities with both constraints (P(l1<N1<=u1, ..., lk<Nk<=uk)). Uses a method suggested by Bruce Levin (1981) <doi:10.1214/aos/1176345593>.

r-proclhmm 1.0.1
Propagated dependencies: r-statmod@1.5.1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=proclhmm
Licenses: GPL 3+
Build system: r
Synopsis: Latent Hidden Markov Models for Response Process Data
Description:

This package provides functions for simulating from and fitting the latent hidden Markov models for response process data (Tang, 2024) <doi:10.1007/s11336-023-09938-1>. It also includes functions for simulating from and fitting ordinary hidden Markov models.

r-poet 2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=POET
Licenses: GPL 2
Build system: r
Synopsis: Principal Orthogonal ComplEment Thresholding (POET) Method
Description:

Estimate large covariance matrices in approximate factor models by thresholding principal orthogonal complements.

r-pkgkitten 0.2.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/eddelbuettel/pkgkitten
Licenses: GPL 2+
Build system: r
Synopsis: Create Simple Packages Which Do not Upset R Package Checks
Description:

This package provides a function kitten() which creates cute little packages which pass R package checks. This sets it apart from package.skeleton() which it calls, and which leaves imperfect files behind. As this is not exactly helpful for beginners, kitten() offers an alternative. Unit test support can be added via the tinytest package (if present), and documentation-creation support can be added via roxygen2 (if present).

r-panalysis 2.0
Propagated dependencies: r-ggplot2@4.0.1 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pAnalysis
Licenses: GPL 2
Build system: r
Synopsis: Benchmarking and Rescaling R2 using Noise Percentile Analysis
Description:

This package provides the tools needed to benchmark the R2 value corresponding to a certain acceptable noise level while also providing a rescaling function based on that noise level yielding a new value of R2 we refer to as R2k which is independent of both the number of degrees of freedom and the noise distribution function.

r-pptreeext 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pptreeviz@2.0.4 r-mixsim@1.1-8 r-mass@7.3-65 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/natydasilva/PPtreeExt
Licenses: GPL 2+
Build system: r
Synopsis: Projection Pursuit Classification Tree Extensions
Description:

This package implements extensions to the projection pursuit tree algorithm for supervised classification, see Lee, Y. (2013), <doi:10.1214/13-EJS810> and Lee, E-K. (2018) <doi:10.18637/jss.v083.i08>. The algorithm is changed in two ways: improving prediction boundaries by modifying the choice of split points-through class subsetting; and increasing flexibility by allowing multiple splits per group.

r-plutor 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-repr@1.1.7 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggsci@4.1.0 r-ggplot2@4.0.1 r-ggh4x@0.3.1 r-dplyr@1.1.4 r-cli@3.6.5 r-baizer@0.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/william-swl/plutor
Licenses: Expat
Build system: r
Synopsis: Useful Functions for Visualization
Description:

In ancient Roman mythology, Pluto was the ruler of the underworld and presides over the afterlife. Pluto was frequently conflated with Plutus', the god of wealth, because mineral wealth was found underground. When plotting with R, you try once, twice, practice again and again, and finally you get a pretty figure you want. It's a plot tour', a tour about repetition and reward. Hope plutor helps you on the tour!

r-plotscale 0.1.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=plotscale
Licenses: GPL 3
Build system: r
Synopsis: Scale Graphics Devices Using Plot Dimensions
Description:

Figures rendered on graphics devices are usually rescaled to fit pre-determined device dimensions. plotscale implements the reverse: desired plot dimensions are specified and device dimensions are calculated to accommodate marginal material, giving consistent proportions for plot elements. Default methods support grid graphics such as lattice and ggplot. See "example('devsize')" and "vignette('plotscale')".

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Total results: 69112