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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-pkmon 1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pkmon
Licenses: FSDG-compatible
Build system: r
Synopsis: Least-Squares Estimator under k-Monotony Constraint for Discrete Functions
Description:

We implement two least-squares estimators under k-monotony constraint using a method based on the Support Reduction Algorithm from Groeneboom et al (2008) <DOI:10.1111/j.1467-9469.2007.00588.x>. The first one is a projection estimator on the set of k-monotone discrete functions. The second one is a projection on the set of k-monotone discrete probabilities. This package provides functions to generate samples from the spline basis from Lefevre and Loisel (2013) <DOI:10.1239/jap/1378401239>, and from mixtures of splines.

r-pedometrics 0.12.1
Dependencies: pandoc@2.19.2
Propagated dependencies: r-rcpp@1.1.0 r-latticeextra@0.6-31 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Laboratorio-de-Pedometria/pedometrics-package
Licenses: GPL 2+
Build system: r
Synopsis: Miscellaneous Pedometric Tools
Description:

An R implementation of methods employed in the field of pedometrics, soil science discipline dedicated to studying the spatial, temporal, and spatio-temporal variation of soil using statistical and computational methods. The methods found here include the calibration of linear regression models using covariate selection strategies, computation of summary validation statistics for predictions, generation of summary plots, evaluation of the local quality of a geostatistical model of uncertainty, and so on. Other functions simply extend the functionalities of or facilitate the usage of functions from other packages that are commonly used for the analysis of soil data. Formerly available versions of suggested packages no longer available from CRAN can be obtained from the CRAN archive <https://cran.r-project.org/src/contrib/Archive/>.

r-perspectev 1.1
Propagated dependencies: r-sp@2.2-0 r-mapproj@1.2.12 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-boot@1.3-32 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=perspectev
Licenses: GPL 3
Build system: r
Synopsis: Permutation of Species During Turnover Events
Description:

This package provides a robust framework for analyzing the extent to which differential survival with respect to higher level trait variation is reducible to lower level variation. In addition to its primary test, it also provides functions for simulation-based power analysis, reading in common data set formats, and visualizing results. Temporarily contains an edited version of function hr.mcp() from package wild1', written by Glen Sargeant. For tutorial see: http://evolve.zoo.ox.ac.uk/Evolve/Perspectev.html.

r-projectionbasedclustering 1.2.2
Propagated dependencies: r-vegan@2.7-2 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rcpp@1.1.0 r-plotly@4.11.0 r-ggplot2@4.0.1 r-geometry@0.5.2 r-generalizedumatrix@1.3.1 r-deldir@2.0-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.deepbionics.org
Licenses: GPL 3
Build system: r
Synopsis: Projection Based Clustering
Description:

This package provides a clustering approach applicable to every projection method is proposed here. The two-dimensional scatter plot of any projection method can construct a topographic map which displays unapparent data structures by using distance and density information of the data. The generalized U*-matrix renders this visualization in the form of a topographic map, which can be used to automatically define the clusters of high-dimensional data. The whole system is based on Thrun and Ultsch, "Using Projection based Clustering to Find Distance and Density based Clusters in High-Dimensional Data" <DOI:10.1007/s00357-020-09373-2>. Selecting the correct projection method will result in a visualization in which mountains surround each cluster. The number of clusters can be determined by counting valleys on the topographic map. Most projection methods are wrappers for already available methods in R. By contrast, the neighbor retrieval visualizer (NeRV) is based on C++ source code of the dredviz software package, and the Curvilinear Component Analysis (CCA) is translated from MATLAB ('SOM Toolbox 2.0) to R.

r-pmclust 0.2-1
Propagated dependencies: r-pbdmpi@0.5-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pbdr.org/
Licenses: GPL 2+
Build system: r
Synopsis: Parallel Model-Based Clustering using Expectation-Gathering-Maximization Algorithm for Finite Mixture Gaussian Model
Description:

Aims to utilize model-based clustering (unsupervised) for high dimensional and ultra large data, especially in a distributed manner. The code employs pbdMPI to perform a expectation-gathering-maximization algorithm for finite mixture Gaussian models. The unstructured dispersion matrices are assumed in the Gaussian models. The implementation is default in the single program multiple data programming model. The code can be executed through pbdMPI and MPI implementations such as OpenMPI and MPICH'. See the High Performance Statistical Computing website <https://snoweye.github.io/hpsc/> for more information, documents and examples.

r-pnd-heter-cluster 0.1.0
Propagated dependencies: r-xgboost@1.7.11.1 r-tidyverse@2.0.0 r-superlearner@2.0-29 r-ranger@0.17.0 r-purrr@1.2.0 r-origami@1.0.7 r-nnet@7.3-20 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-glue@1.8.0 r-dplyr@1.1.4 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/xliu12/PND.heter
Licenses: GPL 2
Build system: r
Synopsis: Estimating the Cluster Specific Treatment Effects in Partially Nested Designs
Description:

This package implements the methods for assessing heterogeneous cluster-specific treatment effects in partially nested designs as described in Liu (2024) <doi:10.1037/met0000723>. The estimation uses the multiply robust method, allowing for the use of machine learning methods in model estimation (e.g., random forest, neural network, and the super learner ensemble). Partially nested designs (also known as partially clustered designs) are designs where individuals in the treatment arm are assigned to clusters (e.g., teachers, tutoring groups, therapists), whereas individuals in the control arm have no such clustering.

r-plume 0.3.0
Propagated dependencies: r-yaml@2.3.10 r-vctrs@0.6.5 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-readr@2.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-lifecycle@1.0.4 r-knitr@1.50 r-jsonlite@2.0.0 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://arnaudgallou.github.io/plume/
Licenses: GPL 3+
Build system: r
Synopsis: Simple Author Handler for Scientific Writing
Description:

Handles and formats author information in scientific writing in R Markdown and Quarto'. plume provides easy-to-use and flexible tools for inserting author data in YAML as well as generating author and contribution lists (among others) as strings from tabular data.

r-pcal 1.0.0
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pedro-teles-fonseca.github.io/pcal/
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Calibration of P-Values for Point Null Hypothesis Testing
Description:

Calibrate p-values under a robust perspective using the methods developed by Sellke, Bayarri, and Berger (2001) <doi:10.1198/000313001300339950> and obtain measures of the evidence provided by the data in favor of point null hypotheses which are safer and more straightforward to interpret.

r-pressure 0.2.5
Propagated dependencies: r-zoo@1.8-14 r-stringr@1.6.0 r-sf@1.0-23 r-scales@1.4.0 r-rvcg@0.25 r-readxl@1.4.5 r-raster@3.6-32 r-pracma@2.4.6 r-morpho@2.13 r-magrittr@2.0.4 r-magick@2.9.0 r-ggplot2@4.0.1 r-ggmap@4.0.2 r-gdistance@1.6.5 r-dplyr@1.1.4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Telfer/pressuRe
Licenses: Expat
Build system: r
Synopsis: Imports, Processes, and Visualizes Biomechanical Pressure Data
Description:

Allows biomechanical pressure data from a range of systems to be imported and processed in a reproducible manner. Automatic and manual tools are included to let the user define regions (masks) to be analyzed. Also includes functions for visualizing and animating pressure data. Example methods are described in Shi et al., (2022) <doi:10.1038/s41598-022-19814-0>, Lee et al., (2014) <doi:10.1186/1757-1146-7-18>, van der Zward et al., (2014) <doi:10.1186/1757-1146-7-20>, Najafi et al., (2010) <doi:10.1016/j.gaitpost.2009.09.003>, Cavanagh and Rodgers (1987) <doi:10.1016/0021-9290(87)90255-7>.

r-portfolioanalytics 2.1.1
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-roi-plugin-symphony@1.0-0 r-pso@1.0.4 r-performanceanalytics@2.0.8 r-mco@1.17 r-gensa@1.1.15 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/braverock/PortfolioAnalytics
Licenses: GPL 3
Build system: r
Synopsis: Portfolio Analysis, Including Numerical Methods for Optimization of Portfolios
Description:

Portfolio optimization and analysis routines and graphics.

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-postinfectious 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=postinfectious
Licenses: GPL 2
Build system: r
Synopsis: Estimating the Incubation Period Distribution of Post-Infectious Syndrome
Description:

This package provides functions to estimate the incubation period distribution of post-infectious syndrome which is defined as the time between the symptom onset of the antecedent infection and that of the post-infectious syndrome.

r-pstr 2.0.0
Propagated dependencies: r-tibble@3.3.0 r-r6@2.6.1 r-plotly@4.11.0 r-magrittr@2.0.4 r-knitr@1.50 r-ggplot2@4.0.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/yukai-yang/PSTR
Licenses: GPL 3
Build system: r
Synopsis: Panel Smooth Transition Regression Modelling
Description:

This package implements the Panel Smooth Transition Regression (PSTR) framework for nonlinear panel data modelling. The modelling procedure consists of three stages: Specification, Estimation and Evaluation. The package provides tools for model specification testing, to do PSTR model estimation, and to do model evaluation. The implemented tests allow for cluster dependence and are heteroskedasticity-consistent. The wild bootstrap and wild cluster bootstrap tests are also implemented. Parallel computation (as an option) is implemented in some functions, especially the bootstrap tests. The package supports parallel computation, which is useful for large-scale bootstrap procedures.

r-poolvim 1.0.0
Propagated dependencies: r-ranger@0.17.0 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=poolVIM
Licenses: GPL 2+
Build system: r
Synopsis: Gene-Based Association Tests using the Actual Impurity Reduction (AIR) Variable Importance
Description:

Gene-based association tests using the actual impurity reduction (AIR) variable importance. The function aggregates AIR importance measures from a group of SNPs or probes and outputs a p-value for each gene. The procedures builds upon the method described in <doi:10.1093/Bioinformatics/Bty373> and will be published soon.

r-panelwranglr 1.2.13
Propagated dependencies: r-hmisc@5.2-4 r-data-table@1.17.8 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/JSzitas/panelWranglR
Licenses: GPL 3
Build system: r
Synopsis: Panel Data Wrangling Tools
Description:

Leading/lagging a panel, creating dummy variables, taking panel differences, looking for panel autocorrelations, and more. Implemented via a data.table back end.

r-ppgm 1.1
Propagated dependencies: r-stringi@1.8.7 r-sp@2.2-0 r-sf@1.0-23 r-phytools@2.5-2 r-phangorn@2.12.1 r-gifski@1.32.0-2 r-geiger@2.0.11 r-foreach@1.5.2 r-fields@17.1 r-doparallel@1.0.17 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ppgm
Licenses: GPL 3+
Build system: r
Synopsis: PaleoPhyloGeographic Modeling of Climate Niches and Species Distributions
Description:

Reconstruction of paleoclimate niches using phylogenetic comparative methods and projection reconstructed niches onto paleoclimate maps. The user can specify various models of trait evolution or estimate the best fit model, include fossils, use one or multiple phylogenies for inference, and make animations of shifting suitable habitat through time. This model was first used in Lawing and Polly (2011), and further implemented in Lawing et al (2016) and Rivera et al (2020). Lawing and Polly (2011) <doi:10.1371/journal.pone.0028554> "Pleistocene climate, phylogeny and climate envelope models: An integrative approach to better understand species response to climate change" Lawing et al (2016) <doi:10.1086/687202> "Including fossils in phylogenetic climate reconstructions: A deep time perspective on the climatic niche evolution and diversification of spiny lizards (Sceloporus)" Rivera et al (2020) <doi:10.1111/jbi.13915> "Reconstructing historical shifts in suitable habitat of Sceloporus lineages using phylogenetic niche modelling.".

r-preprocessing 0.1.0
Propagated dependencies: 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=PreProcessing
Licenses: GPL 3
Build system: r
Synopsis: Various Preprocessing Transformations of Numeric Data Matrices
Description:

Preprocess numeric data matrices into desired transformed representations. Standardization, Unitization, Cubitization and adaptive intervals are offered.

r-prosetta 0.4.2
Propagated dependencies: r-testdesign@1.7.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-psych@2.5.6 r-plink@1.5-1 r-mvnfast@0.2.8 r-mirt@1.45.1 r-lavaan@0.6-20 r-equate@2.0.9
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.prosettastone.org/
Licenses: GPL 3
Build system: r
Synopsis: Linking Patient-Reported Outcomes Measures
Description:

Perform scale linking to establish relationships between instruments that measure similar constructs according to the PROsetta Stone methodology, as in Choi, Schalet, Cook, & Cella (2014) <doi:10.1037/a0035768>.

r-plmmr 4.2.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ncvreg@3.16.0 r-matrix@1.7-4 r-glmnet@4.1-10 r-data-table@1.17.8 r-bigmemory@4.6.4 r-biglasso@1.6.1 r-bigalgebra@3.0.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pbreheny.github.io/plmmr/
Licenses: GPL 3
Build system: r
Synopsis: Penalized Linear Mixed Models for Correlated Data
Description:

Fits penalized linear mixed models that correct for unobserved confounding factors. plmmr infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), plmmr eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of PLINK files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.

r-piar 0.8.3
Propagated dependencies: r-matrix@1.7-4 r-gpindex@0.6.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://marberts.github.io/piar/
Licenses: Expat
Build system: r
Synopsis: Price Index Aggregation
Description:

Most price indexes are made with a two-step procedure, where period-over-period elementary indexes are first calculated for a collection of elementary aggregates at each point in time, and then aggregated according to a price index aggregation structure. These indexes can then be chained together to form a time series that gives the evolution of prices with respect to a fixed base period. This package contains a collection of functions that revolve around this work flow, making it easy to build standard price indexes, and implement the methods described by Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>) for bilateral price indexes.

r-pcadapt 4.4.1
Propagated dependencies: r-rspectra@0.16-2 r-rmio@0.4.0 r-rcpp@1.1.0 r-mmapcharr@0.3.1 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-data-table@1.17.8 r-bigutilsr@0.3.11
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/bcm-uga/pcadapt
Licenses: GPL 2+
Build system: r
Synopsis: Fast Principal Component Analysis for Outlier Detection
Description:

This package provides methods to detect genetic markers involved in biological adaptation. pcadapt provides statistical tools for outlier detection based on Principal Component Analysis. Implements the method described in (Luu, 2016) <DOI:10.1111/1755-0998.12592> and later revised in (Privé, 2020) <DOI:10.1093/molbev/msaa053>.

r-pacotest 0.4.3
Propagated dependencies: r-vinecopula@2.6.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 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://cran.r-project.org/package=pacotest
Licenses: Expat
Build system: r
Synopsis: Testing for Partial Copulas and the Simplifying Assumption in Vine Copulas
Description:

Routines for two different test types, the Constant Conditional Correlation (CCC) test and the Vectorial Independence (VI) test are provided (Kurz and Spanhel (2022) <doi:10.1214/22-EJS2051>). The tests can be applied to check whether a conditional copula coincides with its partial copula. Functions to test whether a regular vine copula satisfies the so-called simplifying assumption or to test a single copula within a regular vine copula to be a (j-1)-th order partial copula are available. The CCC test comes with a decision tree approach to allow testing in high-dimensional settings.

r-popreconstruct 1.0-6
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=popReconstruct
Licenses: GPL 3
Build system: r
Synopsis: Reconstruct Human Populations of the Recent Past
Description:

This package implements the Bayesian hierarchical model described by Wheldon, Raftery, Clark and Gerland (see: <doi:10.1080/01621459.2012.737729>) for simultaneously estimating age-specific population counts, fertility rates, mortality rates and net international migration flows, at the national level.

r-poisnor 1.3.3
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoisNor
Licenses: GPL 2
Build system: r
Synopsis: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals
Description:

Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture. The details of the method are explained in Yahav et al. (2012) <DOI:10.1002/asmb.901>.

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