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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-pardnacopy 2.0
Propagated dependencies: r-dnacopy@1.84.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ParDNAcopy
Licenses: GPL 2
Build system: r
Synopsis: Parallel implementation of the "segment" function of package "DNAcopy"
Description:

Parallelized version of the "segment" function from Bioconductor package "DNAcopy", utilizing multi-core computation on host CPU.

r-pvclass 1.4.1
Propagated dependencies: 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=pvclass
Licenses: GPL 2+
Build system: r
Synopsis: P-Values for Classification
Description:

Computes nonparametric p-values for the potential class memberships of new observations as well as cross-validated p-values for the training data. The p-values are based on permutation tests applied to an estimated Bayesian likelihood ratio, using a plug-in statistic for the Gaussian model, k nearest neighbors', weighted nearest neighbors or penalized logistic regression'. Additionally, it provides graphical displays and quantitative analyses of the p-values.

r-platformdesign 2.1.4
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PlatformDesign
Licenses: GPL 3+
Build system: r
Synopsis: Optimal Two-Period Multiarm Platform Design with New Experimental Arms Added During the Trial
Description:

Design parameters of the optimal two-period multiarm platform design (controlling for either family-wise error rate or pair-wise error rate) can be calculated using this package, allowing pre-planned deferred arms to be added during the trial. More details about the design method can be found in the paper: Pan, H., Yuan, X. and Ye, J. (2022) "An optimal two-period multiarm platform design with new experimental arms added during the trial". Manuscript submitted for publication. For additional references: Dunnett, C. W. (1955) <doi:10.2307/2281208>.

r-piir 0.3.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=piiR
Licenses: Expat
Build system: r
Synopsis: Predictive Information Index ('PII')
Description:

This package provides a simple implementation of the Predictive Information Index ('PII').

r-pharmr 1.7.2
Dependencies: python@3.11.14
Propagated dependencies: r-reticulate@1.44.1 r-cli@3.6.5 r-altair@4.2.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/pharmpy/pharmr
Licenses: LGPL 3+
Build system: r
Synopsis: Interface to the 'Pharmpy' 'Pharmacometrics' Library
Description:

Interface to the Pharmpy pharmacometrics library. The Reticulate package is used to interface Python from R.

r-pprep 0.42.3
Propagated dependencies: r-hypergeo@1.2-14
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/SamCH93/ppRep
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Replication Studies using Power Priors
Description:

This package provides functionality for Bayesian analysis of replication studies using power prior approaches (Pawel et al., 2023) <doi:10.1007/s11749-023-00888-5>.

r-plugdensity 0.8-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://curves-etc.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Plug-in Kernel Density Estimation
Description:

Kernel density estimation with global bandwidth selection via "plug-in".

r-pbo 1.3.5
Propagated dependencies: r-latticeextra@0.6-31 r-lattice@0.22-7 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mrbcuda/pbo
Licenses: Expat
Build system: r
Synopsis: Probability of Backtest Overfitting
Description:

Following the method of Bailey et al., computes for a collection of candidate models the probability of backtest overfitting, the performance degradation and probability of loss, and the stochastic dominance.

r-perplexr 0.0.3
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-jsonlite@2.0.0 r-httr@1.4.7 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/GabrielKaiserQFin/perplexR
Licenses: GPL 3+
Build system: r
Synopsis: Coding Assistant using Perplexity's Large Language Models
Description:

This package provides a coding assistant using Perplexity's Large Language Models <https://www.perplexity.ai/> API. A set of functions and RStudio add-ins that aim to help R developers.

r-predictioninterval 1.0.0
Propagated dependencies: r-pbapply@1.7-4 r-mbess@4.9.41 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=predictionInterval
Licenses: FSDG-compatible
Build system: r
Synopsis: Prediction Interval Functions for Assessing Replication Study Results
Description:

This package provides a common problem faced by journal reviewers and authors is the question of whether the results of a replication study are consistent with the original published study. One solution to this problem is to examine the effect size from the original study and generate the range of effect sizes that could reasonably be obtained (due to random sampling) in a replication attempt (i.e., calculate a prediction interval). This package has functions that calculate the prediction interval for the correlation (i.e., r), standardized mean difference (i.e., d-value), and mean.

r-pacta-loanbook 0.1.1
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-scales@1.4.0 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-r2dii-plot@0.5.2 r-r2dii-match@0.4.1 r-r2dii-data@0.6.1 r-r2dii-analysis@0.5.3 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rmi-pacta.github.io/pacta.loanbook/
Licenses: Expat
Build system: r
Synopsis: Easily Install and Load PACTA for Banks Packages
Description:

PACTA (Paris Agreement Capital Transition Assessment) for Banks is a tool that allows banks to calculate the climate alignment of their corporate lending portfolios. This package is designed to make it easy to install and load multiple PACTA for Banks packages in a single step. It also provides thorough documentation - the PACTA for Banks cookbook at <https://rmi-pacta.github.io/pacta.loanbook/articles/cookbook_overview.html> - on how to run a PACTA for Banks analysis. This covers prerequisites for the analysis, the separate steps of running the analysis, the interpretation of PACTA for Banks results, and advanced use cases.

r-predreliability 0.1.0
Propagated dependencies: r-rpart@4.1.24 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=predReliability
Licenses: GPL 3
Build system: r
Synopsis: Estimates Reliability of Individual Supervised Learning Predictions
Description:

An implementation of reliability estimation methods described in the paper (Bosnic, Z., & Kononenko, I. (2008) <doi:10.1007/s10489-007-0084-9>), which allows you to test the reliability of a single predicted instance made by your model and prediction function. It also allows you to make a correlation test to estimate which reliability estimate is the most accurate for your model.

r-plotscaper 0.2.8
Propagated dependencies: r-uuid@1.2-1 r-knitr@1.50 r-jsonlite@2.0.0 r-httpuv@1.6.16 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://bartonicek.github.io/plotscaper/
Licenses: Expat
Build system: r
Synopsis: Explore Your Data with Interactive Figures
Description:

This package provides a framework for creating interactive figures for data exploration. All plots are automatically linked and support several kinds of interactive features, including selection, zooming, panning, and parameter manipulation. The figures can be interacted with either manually, using a mouse and a keyboard, or by running code from inside an active R session.

r-pepe 1.2.0
Propagated dependencies: r-tidyr@1.3.1 r-psych@2.5.6 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/seymakalay/pepe
Licenses: GPL 3
Build system: r
Synopsis: Data Manipulation
Description:

Is designed to make easier printing summary statistics (for continues and factor level) tables in Latex, and plotting by factor.

r-powerlate 0.1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/kbansak/powerLATE_tutorial
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Power Analysis for LATE
Description:

An implementation of the generalized power analysis for the local average treatment effect (LATE), proposed by Bansak (2020) <doi:10.1214/19-STS732>. Power analysis is in the context of estimating the LATE (also known as the complier average causal effect, or CACE), with calculations based on a test of the null hypothesis that the LATE equals 0 with a two-sided alternative. The method uses standardized effect sizes to place a conservative bound on the power under minimal assumptions. Package allows users to recover power, sample size requirements, or minimum detectable effect sizes. Package also allows users to work with absolute effects rather than effect sizes, to specify an additional assumption to narrow the bounds, and to incorporate covariate adjustment.

r-pogromcydanych 1.7.1
Propagated dependencies: r-smarterpoland@1.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PogromcyDanych
Licenses: GPL 3
Build system: r
Synopsis: DataCrunchers (PogromcyDanych) is the Massive Online Open Course that Brings R and Statistics to the People
Description:

The data sets used in the online course ,,PogromcyDanych''. You can process data in many ways. The course Data Crunchers will introduce you to this variety. For this reason we will work on datasets of different size (from several to several hundred thousand rows), with various level of complexity (from two to two thousand columns) and prepared in different formats (text data, quantitative data and qualitative data). All of these data sets were gathered in a single big package called PogromcyDanych to facilitate access to them. It contains all sorts of data sets such as data about offer prices of cars, results of opinion polls, information about changes in stock market indices, data about names given to newborn babies, ski jumping results or information about outcomes of breast cancer patients treatment.

r-poobly 0.1.2
Propagated dependencies: r-plm@2.6-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/cadam00/poobly
Licenses: GPL 3
Build system: r
Synopsis: Poolability Tests in Panel Data
Description:

Homogeneity tests of the coefficients in panel data. Currently, only the Hsiao test for determining coefficient homogeneity between the panel data individuals is implemented, as described in Hsiao (2022), "Analysis of Panel Data" (<doi:10.1017/9781009057745>).

r-pysd2r 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-reticulate@1.44.1 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pysd2r
Licenses: Expat
Build system: r
Synopsis: API to 'Python' Library 'pysd'
Description:

Using the R package reticulate', this package creates an interface to the pysd toolset. The package provides an R interface to a number of pysd functions, and can read files in Vensim mdl format, and xmile format. The resulting simulations are returned as a tibble', and from that the results can be processed using dplyr and ggplot2'. The package has been tested using python3'.

r-pjfm 0.1.0
Propagated dependencies: r-survival@3.8-3 r-statmod@1.5.1 r-rcppensmallen@0.3.10.0.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 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=PJFM
Licenses: GPL 2
Build system: r
Synopsis: Variational Inference for High-Dimensional Joint Frailty Model
Description:

Joint frailty models have been widely used to study the associations between recurrent events and a survival outcome. However, existing joint frailty models only consider one or a few recurrent events and cannot deal with high-dimensional recurrent events. This package can be used to fit our recently developed penalized joint frailty model that can handle high-dimensional recurrent events. Specifically, an adaptive lasso penalty is imposed on the parameters for the effects of the recurrent events on the survival outcome, which allows for variable selection. Also, our algorithm is computationally efficient, which is based on the Gaussian variational approximation method.

r-profilelikelihood 1.3
Propagated dependencies: r-nlme@3.1-168 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProfileLikelihood
Licenses: GPL 3+
Build system: r
Synopsis: Profile Likelihood for a Parameter in Commonly Used Statistical Models
Description:

This package provides profile likelihoods for a parameter of interest in commonly used statistical models. The models include linear models, generalized linear models, proportional odds models, linear mixed-effects models, and linear models for longitudinal responses fitted by generalized least squares. The package also provides plots for normalized profile likelihoods as well as the maximum profile likelihood estimates and the kth likelihood support intervals.

r-pdpdb 2.0.1
Propagated dependencies: r-tseries@0.10-58 r-plyr@1.8.9 r-dendextend@1.19.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PdPDB
Licenses: Expat
Build system: r
Synopsis: Pattern Discovery in PDB Structures of Metalloproteins
Description:

Looks for amino acid and/or nucleotide patterns and/or small ligands coordinated to a given prosthetic centre. Files have to be in the local file system and contain proper extension.

r-pathfindr-data 2.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/egeulgen/pathfindR.data
Licenses: Expat
Build system: r
Synopsis: Data Package for 'pathfindR'
Description:

This is a data-only package, containing data needed to run the CRAN package pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.

r-paramtest 0.1.1
Propagated dependencies: r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=paramtest
Licenses: GPL 3
Build system: r
Synopsis: Run a Function Iteratively While Varying Parameters
Description:

Run simulations or other functions while easily varying parameters from one iteration to the next. Some common use cases would be grid search for machine learning algorithms, running sets of simulations (e.g., estimating statistical power for complex models), or bootstrapping under various conditions. See the paramtest documentation for more information and examples.

r-predint 2.3.0
Propagated dependencies: r-mass@7.3-65 r-lme4@1.1-37 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MaxMenssen/predint
Licenses: GPL 2+
Build system: r
Synopsis: Prediction Intervals
Description:

An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.

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Total results: 69112