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

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-planr 0.6.3
Propagated dependencies: r-tidyr@1.3.1 r-rcpproll@0.3.1 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/nguyennico/planr
Licenses: Expat
Build system: r
Synopsis: Tools for Supply Chain Management, Demand and Supply Planning
Description:

Perform flexible and quick calculations for Demand and Supply Planning, such as projected inventories and coverages, as well as replenishment plan. For any time bucket, daily, weekly or monthly, and any granularity level, product or group of products.

r-phenocamr 1.1.5
Propagated dependencies: r-zoo@1.8-14 r-modistools@1.1.6 r-memoise@2.0.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-daymetr@1.7.1 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/bluegreen-labs/phenocamr
Licenses: AGPL 3
Build system: r
Synopsis: Facilitates 'PhenoCam' Data Access and Time Series Post-Processing
Description:

Programmatic interface to the PhenoCam web services (<https://phenocam.nau.edu/webcam>). Allows for easy downloading of PhenoCam data directly to your R workspace or your computer and provides post-processing routines for consistent and easy timeseries outlier detection, smoothing and estimation of phenological transition dates. Methods for this package are described in detail in Hufkens et. al (2018) <doi:10.1111/2041-210X.12970>.

r-parzer 0.4.4
Propagated dependencies: r-withr@3.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ropensci/parzer
Licenses: Expat
Build system: r
Synopsis: Parse Messy Geographic Coordinates
Description:

Parse messy geographic coordinates from various character formats to decimal degree numeric values. Parse coordinates into their parts (degree, minutes, seconds); calculate hemisphere from coordinates; pull out individually degrees, minutes, or seconds; add and subtract degrees, minutes, and seconds. C++ code herein originally inspired from code written by Jeffrey D. Bogan, but then completely re-written.

r-peptoolkit 0.0.1
Propagated dependencies: r-stringr@1.6.0 r-peptides@2.4.6 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jrcodina/peptoolkit
Licenses: GPL 3+
Build system: r
Synopsis: Toolkit for Using Peptide Sequences in Machine Learning
Description:

This toolkit is designed for manipulation and analysis of peptides. It provides functionalities to assist researchers in peptide engineering and proteomics. Users can manipulate peptides by adding amino acids at every position, count occurrences of each amino acid at each position, and transform amino acid counts based on probabilities. The package offers functionalities to select the best versus the worst peptides and analyze these peptides, which includes counting specific residues, reducing peptide sequences, extracting features through One Hot Encoding (OHE), and utilizing Quantitative Structure-Activity Relationship (QSAR) properties (based in the package Peptides by Osorio et al. (2015) <doi:10.32614/RJ-2015-001>). This package is intended for both researchers and bioinformatics enthusiasts working on peptide-based projects, especially for their use with machine learning.

r-pcds 0.1.8
Propagated dependencies: r-rdpack@2.6.4 r-plotrix@3.8-13 r-plot3d@1.4.2 r-interp@1.1-6 r-gmoip@1.5.6 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pcds
Licenses: GPL 2
Build system: r
Synopsis: Proximity Catch Digraphs and Their Applications
Description:

This package contains the functions for construction and visualization of various families of the proximity catch digraphs (PCDs), see (Ceyhan (2005) ISBN:978-3-639-19063-2), for computing the graph invariants for testing the patterns of segregation and association against complete spatial randomness (CSR) or uniformity in one, two and three dimensional cases. The package also has tools for generating points from these spatial patterns. The graph invariants used in testing spatial point data are the domination number (Ceyhan (2011) <doi:10.1080/03610921003597211>) and arc density (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>; Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>). The PCD families considered are Arc-Slice PCDs, Proportional-Edge PCDs, and Central Similarity PCDs.

r-phenthauproc 1.1.1
Propagated dependencies: r-terra@1.8-86 r-rlang@1.1.6 r-lubridate@1.9.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PHENTHAUproc
Licenses: Expat
Build system: r
Synopsis: Phenology Modelling of Thaumetopoea Processionea
Description:

This package provides methods to calculate and present PHENTHAUproc', an early warning and decision support system for hazard assessment and control of oak processionary moth (OPM) using local and spatial temperature data. It was created by Halbig et al. 2024 (<doi:10.1016/j.foreco.2023.121525>) at FVA (<https://www.fva-bw.de/en/homepage/>) Forest Research Institute Baden-Wuerttemberg, Germany and at BOKU - University of Natural Ressources and Life Sciences, Vienna, Austria.

r-pcts 0.15.8
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-sarima@0.9.5 r-rdpack@2.6.4 r-polynomf@2.0-8 r-mcompanion@0.6 r-matrix@1.7-4 r-lubridate@1.9.4 r-lagged@0.3.2 r-gbutils@0.5.1 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://geobosh.github.io/pcts/https://github.com/GeoBosh/pcts/
Licenses: GPL 2+
Build system: r
Synopsis: Periodically Correlated and Periodically Integrated Time Series
Description:

This package provides classes and methods for modelling and simulation of periodically correlated (PC) and periodically integrated time series. Compute theoretical periodic autocovariances and related properties of PC autoregressive moving average models. Some original methods including Boshnakov & Iqelan (2009) <doi:10.1111/j.1467-9892.2009.00617.x>, Boshnakov (1996) <doi:10.1111/j.1467-9892.1996.tb00281.x>.

r-pump 1.0.4
Propagated dependencies: 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-randomizr@1.0.0 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lme4@1.1-37 r-glue@1.8.0 r-ggthemes@5.1.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-future@1.68.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MDRCNY/PUMP
Licenses: GPL 3
Build system: r
Synopsis: Power Under Multiplicity Project
Description:

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

r-proverbs 0.4.0
Propagated dependencies: r-stringr@1.6.0 r-rvest@1.0.5 r-purrr@1.2.0 r-lubridate@1.9.4 r-httr2@1.2.1 r-glue@1.8.0 r-crayon@1.5.3 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/bradlindblad/proverbs
Licenses: Expat
Build system: r
Synopsis: Print a Daily Bible Proverb to Console
Description:

This package provides a simple package to grab a Bible proverb corresponding to the day of the month.

r-probe 1.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=probe
Licenses: GPL 2+
Build system: r
Synopsis: Sparse High-Dimensional Linear Regression with PROBE
Description:

This package implements an efficient and powerful Bayesian approach for sparse high-dimensional linear regression. It uses minimal prior assumptions on the parameters through plug-in empirical Bayes estimates of hyperparameters. An efficient Parameter-Expanded Expectation-Conditional-Maximization (PX-ECM) algorithm estimates maximum a posteriori (MAP) values of regression parameters and variable selection probabilities. The PX-ECM results in a robust computationally efficient coordinate-wise optimization, which adjusts for the impact of other predictor variables. The E-step is motivated by the popular two-group approach to multiple testing. The result is a PaRtitiOned empirical Bayes Ecm (PROBE) algorithm applied to sparse high-dimensional linear regression, implemented using one-at-a-time or all-at-once type optimization. More information can be found in McLain, Zgodic, and Bondell (2022) <arXiv:2209.08139>.

r-pnar 1.7
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-nloptr@2.2.1 r-igraph@2.2.1 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PNAR
Licenses: GPL 2+
Build system: r
Synopsis: Poisson Network Autoregressive Models
Description:

Quasi likelihood-based methods for estimating linear and log-linear Poisson Network Autoregression models with p lags and covariates. Tools for testing the linearity versus several non-linear alternatives. Tools for simulation of multivariate count distributions, from linear and non-linear PNAR models, by using a specific copula construction. References include: Armillotta, M. and K. Fokianos (2023). "Nonlinear network autoregression". Annals of Statistics, 51(6): 2526--2552. <doi:10.1214/23-AOS2345>. Armillotta, M. and K. Fokianos (2024). "Count network autoregression". Journal of Time Series Analysis, 45(4): 584--612. <doi:10.1111/jtsa.12728>. Armillotta, M., Tsagris, M. and Fokianos, K. (2024). "Inference for Network Count Time Series with the R Package PNAR". The R Journal, 15/4: 255--269. <doi:10.32614/RJ-2023-094>.

r-perccalc 1.0.5
Propagated dependencies: r-tibble@3.3.0 r-multcomp@1.4-29
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cimentadaj.github.io/perccalc/
Licenses: Expat
Build system: r
Synopsis: Estimate Percentiles from an Ordered Categorical Variable
Description:

An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.

r-plumbertableau 0.1.1
Propagated dependencies: r-urltools@1.7.3.1 r-stringi@1.8.7 r-rlang@1.1.6 r-promises@1.5.0 r-plumber@1.3.0 r-markdown@2.0 r-magrittr@2.0.4 r-later@1.4.4 r-knitr@1.50 r-jsonlite@2.0.0 r-httr@1.4.7 r-httpuv@1.6.16 r-htmltools@0.5.8.1 r-debugme@1.2.0 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rstudio.github.io/plumbertableau/
Licenses: Expat
Build system: r
Synopsis: Turn 'Plumber' APIs into 'Tableau' Extensions
Description:

Build Plumber APIs that can be used in Tableau workbooks. Annotations in R comments allow APIs to conform to the Tableau Analytics Extension specification, so that R code can be used to power Tableau workbooks.

r-paper 1.0-6
Propagated dependencies: r-xtable@1.8-4 r-gmodels@2.19.1 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/hofnerb/papeR
Licenses: GPL 2
Build system: r
Synopsis: Toolbox for Writing Pretty Papers and Reports
Description:

This package provides a toolbox for writing knitr', Sweave or other LaTeX'- or markdown'-based reports and to prettify the output of various estimated models.

r-psychmeta 2.7.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-metafor@4.8-0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-curl@7.0.0 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=psychmeta
Licenses: GPL 3+
Build system: r
Synopsis: Psychometric Meta-Analysis Toolkit
Description:

This package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more. Bugs can be reported to <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.

r-plordprob 1.1
Propagated dependencies: r-mnormt@2.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PLordprob
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Ordered Probit Model via Pairwise Likelihood
Description:

Multivariate ordered probit model, i.e. the extension of the scalar ordered probit model where the observed variables have dimension greater than one. Estimation of the parameters is done via maximization of the pairwise likelihood, a special case of the composite likelihood obtained as product of bivariate marginal distributions. The package uses the Fortran 77 subroutine SADMVN by Alan Genz, with minor adaptations made by Adelchi Azzalini in his "mvnormt" package for evaluating the two-dimensional Gaussian integrals involved in the pairwise log-likelihood. Optimization of the latter objective function is performed via quasi-Newton box-constrained optimization algorithm, as implemented in nlminb.

r-pedsimulate 1.4.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/nilforooshan/pedSimulate
Licenses: GPL 3
Build system: r
Synopsis: Pedigree, Genetic Merit, Phenotype, and Genotype Simulation
Description:

Simulate pedigree, genetic merits and phenotypes with random/non-random matings followed by random/non-random selection with different intensities and patterns in males and females. Genotypes can be simulated for a given pedigree, or an appended pedigree to an existing pedigree with genotypes. Mrode, R. A. (2005) <ISBN:9780851989969, 0851989969>; Nilforooshan, M.A. (2022) <doi:10.37496/rbz5120210131>.

r-probbayes 1.1
Propagated dependencies: r-shiny@1.11.1 r-learnbayes@2.15.1 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://github.com/bayesball/ProbBayes
Licenses: GPL 2+
Build system: r
Synopsis: Probability and Bayesian Modeling
Description:

This package provides functions and datasets to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).

r-posologyr 1.2.8
Propagated dependencies: r-rxode2@5.0.1 r-mvtnorm@1.3-3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://levenc.github.io/posologyr/
Licenses: AGPL 3
Build system: r
Synopsis: Individual Dose Optimization using Population Pharmacokinetics
Description:

Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, posologyr offers accurate posterior estimates and helps compute optimal individualized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.

r-pcgii 1.1.2
Propagated dependencies: r-matrix@1.7-4 r-igraph@2.2.1 r-glmnet@4.1-10 r-dplyr@1.1.4 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://haowang47.github.io/PCGII/
Licenses: Expat
Build system: r
Synopsis: Partial Correlation Graph with Information Incorporation
Description:

Large-scale gene expression studies allow gene network construction to uncover associations among genes. This package is developed for estimating and testing partial correlation graphs with prior information incorporated.

r-pyinit 1.1.5
Propagated dependencies: r-robustbase@0.99-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dakep/pyinit
Licenses: GPL 2+
Build system: r
Synopsis: Pena-Yohai Initial Estimator for Robust S-Regression
Description:

Deterministic Pena-Yohai initial estimator for robust S estimators of regression. The procedure is described in detail in Pena, D., & Yohai, V. (1999) <doi:10.2307/2670164>.

r-phecap 1.2.1
Propagated dependencies: r-rmysql@0.11.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://celehs.github.io/PheCAP/
Licenses: GPL 3
Build system: r
Synopsis: High-Throughput Phenotyping with EHR using a Common Automated Pipeline
Description:

Implement surrogate-assisted feature extraction (SAFE) and common machine learning approaches to train and validate phenotyping models. Background and details about the methods can be found at Zhang et al. (2019) <doi:10.1038/s41596-019-0227-6>, Yu et al. (2017) <doi:10.1093/jamia/ocw135>, and Liao et al. (2015) <doi:10.1136/bmj.h1885>.

r-pathwayvote 0.1.3
Propagated dependencies: r-parallelly@1.45.1 r-harmonicmeanp@3.0.1 r-future@1.68.0 r-furrr@0.3.1 r-clusterprofiler@4.18.2 r-annotationdbi@1.72.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PathwayVote
Licenses: Expat
Build system: r
Synopsis: Robust Pathway Enrichment for DNA Methylation Studies Using Ensemble Voting
Description:

This package performs pathway enrichment analysis using a voting-based framework that integrates CpGâ gene regulatory information from expression quantitative trait methylation (eQTM) data. For a grid of top-ranked CpGs and filtering thresholds, gene sets are generated and refined using an entropy-based pruning strategy that balances information richness, stability, and probe bias correction. In particular, gene lists dominated by genes with disproportionately high numbers of CpG mappings are penalized to mitigate active probe biasâ a common artifact in methylation data analysis. Enrichment results across parameter combinations are then aggregated using a voting scheme, prioritizing pathways that are consistently recovered under diverse settings and robust to parameter perturbations.

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.

Page: 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895
Total results: 21457