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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-resurv 1.0.0
Dependencies: python@3.11.14
Propagated dependencies: r-xgboost@1.7.11.1 r-tidyverse@2.0.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-synthetic@1.1.1 r-survival@3.8-3 r-shapforxgboost@0.1.3 r-rpart@4.1.24 r-reticulate@1.44.1 r-reshape2@1.4.5 r-purrr@1.2.0 r-ggplot2@4.0.1 r-forecast@8.24.0 r-fastdummies@1.7.5 r-dtplyr@1.3.2 r-dplyr@1.1.4 r-data-table@1.17.8 r-bshazard@1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/edhofman/ReSurv
Licenses: GPL 2+
Build system: r
Synopsis: Machine Learning Models for Predicting Claim Counts
Description:

Prediction of claim counts using the feature based development factors introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023) <doi:10.48550/arXiv.2312.14549>. Implementation of Neural Networks, Extreme Gradient Boosting, and Cox model with splines to optimise the partial log-likelihood of proportional hazard models.

r-rrcovna 0.5-3
Propagated dependencies: r-rrcov@1.7-7 r-robustbase@0.99-6 r-norm@1.0-11.1 r-lattice@0.22-7 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/valentint/rrcovNA
Licenses: GPL 2+
Build system: r
Synopsis: Scalable Robust Estimators with High Breakdown Point for Incomplete Data
Description:

Robust Location and Scatter Estimation and Robust Multivariate Analysis with High Breakdown Point for Incomplete Data (missing values) (Todorov et al. (2010) <doi:10.1007/s11634-010-0075-2>).

r-rlibeemd 1.4.4
Dependencies: gsl@2.8
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rlibeemd
Licenses: GPL 3
Build system: r
Synopsis: Ensemble Empirical Mode Decomposition (EEMD) and Its Complete Variant (CEEMDAN)
Description:

An R interface for libeemd (Luukko, Helske, Räsänen, 2016) <doi:10.1007/s00180-015-0603-9>, a C library of highly efficient parallelizable functions for performing the ensemble empirical mode decomposition (EEMD), its complete variant (CEEMDAN), the regular empirical mode decomposition (EMD), and bivariate EMD (BEMD). Due to the possible portability issues CRAN version no longer supports OpenMP, but you can install OpenMP-supported version from GitHub: <https://github.com/helske/Rlibeemd/>.

r-readjdx 0.6.4
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/bryanhanson/readJDX
Licenses: GPL 3+
Build system: r
Synopsis: Import Data in the JCAMP-DX Format
Description:

Import data written in the JCAMP-DX format. This is an instrument-independent format used in the field of spectroscopy. Examples include IR, NMR, and Raman spectroscopy. See the vignette for background and supported formats. The official JCAMP-DX site is <http://www.jcamp-dx.org/>.

r-robustprediction 0.1.7
Propagated dependencies: r-ranger@0.17.0 r-proc@1.19.0.1 r-mlr@2.19.3 r-mboost@2.9-11 r-glmnet@4.1-10 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Yuting-He/RobustPrediction
Licenses: GPL 3
Build system: r
Synopsis: Robust Tuning and Training for Cross-Source Prediction
Description:

This package provides robust parameter tuning and model training for predictive models applied across data sources where the data distribution varies slightly from source to source. This package implements three primary tuning methods: cross-validation-based internal tuning, external tuning, and the RobustTuneC method. External tuning includes a conservative option where parameters are tuned internally on the training data and validating on an external dataset, providing a slightly pessimistic estimate. It supports Lasso, Ridge, Random Forest, Boosting, and Support Vector Machine classifiers. Currently, only binary classification is supported. The response variable must be the first column of the dataset and a factor with exactly two levels. The tuning methods are based on the paper by Nicole Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, and Roman Hornung (2021) "Improved Outcome Prediction Across Data Sources Through Robust Parameter Tuning" <doi:10.1007/s00357-020-09368-z>.

r-rdiagnosislist 1.4.0
Propagated dependencies: r-readxl@1.4.5 r-data-table@1.17.8 r-bit64@4.6.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rdiagnosislist
Licenses: GPL 3
Build system: r
Synopsis: Manipulate SNOMED CT Diagnosis Lists
Description:

This package provides functions and methods for manipulating SNOMED CT concepts. The package contains functions for loading the SNOMED CT release into a convenient R environment, selecting SNOMED CT concepts using regular expressions, and navigating the SNOMED CT ontology. It provides the SNOMEDconcept S3 class for a vector of SNOMED CT concepts (stored as 64-bit integers) and the SNOMEDcodelist S3 class for a table of concepts IDs with descriptions. The package can be used to construct sets of SNOMED CT concepts for research (<doi:10.1093/jamia/ocac158>). For more information about SNOMED CT visit <https://www.snomed.org/>.

r-rutifier 1.0.4
Propagated dependencies: r-r-utils@2.13.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rutifier
Licenses: Expat
Build system: r
Synopsis: Chilean Rol Unico Tributario
Description:

This package provides a RUT (Rol Unico Tributario) is an unique and personal identification number implemented in Chile to identify citizens and taxpayers. Rutifier allows to validate if a RUT exist or not and change between the different formats a RUT can have.

r-rwalkr 0.5.7
Propagated dependencies: r-tidyr@1.3.1 r-progress@1.2.3 r-httr@1.4.7 r-hms@1.1.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pkg.earo.me/rwalkr/
Licenses: Expat
Build system: r
Synopsis: API to Melbourne Pedestrian Data
Description:

This package provides API to Melbourne pedestrian and weather data <https://data.melbourne.vic.gov.au> in tidy data form.

r-rddi 0.1.1
Propagated dependencies: r-xml2@1.5.0 r-rlang@1.1.6 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rddi
Licenses: GPL 3
Build system: r
Synopsis: R Interface to DDI Codebook 2.5
Description:

This package provides a direct interface to the underlying XML representation of DDI Codebook 2.5 with flexible API creation.

r-redcaptidier 1.2.4
Propagated dependencies: 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-stringi@1.8.7 r-rlang@1.1.6 r-redcapr@1.6.0 r-readr@2.1.6 r-purrr@1.2.0 r-pillar@1.11.1 r-lubridate@1.9.4 r-lobstr@1.1.3 r-glue@1.8.0 r-formattable@0.2.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://chop-cgtinformatics.github.io/REDCapTidieR/
Licenses: Expat
Build system: r
Synopsis: Extract 'REDCap' Databases into Tidy 'Tibble's
Description:

Convert REDCap exports into tidy tables for easy handling of REDCap repeat instruments and event arms.

r-rgenerateprec 1.3.2
Propagated dependencies: r-stringr@1.6.0 r-rmawgen@1.3.9.3 r-rgenerate@1.3.8 r-matrix@1.7-4 r-lubridate@1.9.4 r-copula@1.1-7 r-blockmatrix@1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://ecor.github.io/RGENERATEPREC/
Licenses: GPL 2+
Build system: r
Synopsis: Tools to Generate Daily-Precipitation Time Series
Description:

The method generate() is extended for spatial multi-site stochastic generation of daily precipitation. It generates precipitation occurrence in several sites using logit regression (Generalized Linear Models) and the approach by D.S. Wilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .

r-rtde 0.2-2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RTDE
Licenses: GPL 2+
Build system: r
Synopsis: Robust Tail Dependence Estimation
Description:

Robust tail dependence estimation for bivariate models. This package is based on two papers by the authors:'Robust and bias-corrected estimation of the coefficient of tail dependence and Robust and bias-corrected estimation of probabilities of extreme failure sets'. This work was supported by a research grant (VKR023480) from VILLUM FONDEN and an international project for scientific cooperation (PICS-6416).

r-rsghb 1.2.2
Propagated dependencies: r-mcmcpack@1.7-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/RSGInc/RSGHB
Licenses: GPL 3
Build system: r
Synopsis: Functions for Hierarchical Bayesian Estimation: A Flexible Approach
Description:

This package provides functions for estimating models using a Hierarchical Bayesian (HB) framework. The flexibility comes in allowing the user to specify the likelihood function directly instead of assuming predetermined model structures. Types of models that can be estimated with this code include the family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit, Error Components Logit and Latent Class) as well ordered response models like ordered probit and ordered logit. In addition, the package allows for flexibility in specifying parameters as either fixed (non-varying across individuals) or random with continuous distributions. Parameter distributions supported include normal, positive/negative log-normal, positive/negative censored normal, and the Johnson SB distribution. Kenneth Train's Matlab and Gauss code for doing Hierarchical Bayesian estimation has served as the basis for a few of the functions included in this package. These Matlab/Gauss functions have been rewritten to be optimized within R. Considerable code has been added to increase the flexibility and usability of the code base. Train's original Gauss and Matlab code can be found here: <http://elsa.berkeley.edu/Software/abstracts/train1006mxlhb.html> See Train's chapter on HB in Discrete Choice with Simulation here: <http://elsa.berkeley.edu/books/choice2.html>; and his paper on using HB with non-normal distributions here: <http://eml.berkeley.edu//~train/trainsonnier.pdf>. The authors would also like to thank the invaluable contributions of Stephane Hess and the Choice Modelling Centre: <https://cmc.leeds.ac.uk/>.

r-resumir 1.0.2
Propagated dependencies: r-tibble@3.3.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/juanMaSolisJujuy/resumiR
Licenses: GPL 3+
Build system: r
Synopsis: Medidas Resumen y Tablas de Frecuencia para Datos Numéricos / Summary Measures and Frequency Tables for Numerical Data
Description:

Permite obtener rápidamente una serie de medidas de resumen y gráficos para datos numéricos discretos o continuos en series simples. También permite obtener tablas de frecuencia clásicas y gráficos cuando se desea realizar un análisis de series agrupadas. Su objetivo es de aplicación didáctica para un curso introductorio de Bioestadà stica utilizando el software R, para las carreras de grado las carreras de grado y otras ofertas educativas de la Facultad de Ciencias Agrarias de la UNJu / It generates summary measures and graphs for discrete or continuous numerical data in simple series. It also enables the creation of classic frequency tables and graphs when analyzing grouped series. Its purpose is for educational application in an introductory Biostatistics course using the R software, aimed at undergraduate programs and other educational offerings of the Faculty of Agricultural Sciences at the National University of Jujuy (UNJu).

r-rcmdrplugin-mpastats 1.2.2
Propagated dependencies: r-rcmdr@2.9-5 r-ordinal@2023.12-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RcmdrPlugin.MPAStats
Licenses: GPL 3+
Build system: r
Synopsis: R Commander Plug-in for MPA Statistics
Description:

Extends R Commander with a unified menu of new and pre-existing statistical functions related to public management and policy analysis statistics. Functions and menus have been renamed according to the usage in PMGT 630 in the Master of Public Administration program at Brigham Young University.

r-reldists 1.0.1
Propagated dependencies: r-zipfr@0.6-70 r-vgam@1.1-13 r-survival@3.8-3 r-rdpack@2.6.4 r-lamw@2.2.5 r-gamlss-dist@6.1-1 r-gamlss@5.5-0 r-estimationtools@4.3.1 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://fhernanb.github.io/RelDists/
Licenses: GPL 3
Build system: r
Synopsis: Estimation for some Reliability Distributions
Description:

Parameters estimation and linear regression models for Reliability distributions families reviewed by Almalki & Nadarajah (2014) <doi:10.1016/j.ress.2013.11.010> using Generalized Additive Models for Location, Scale and Shape, GAMLSS by Rigby & Stasinopoulos (2005) <doi:10.1111/j.1467-9876.2005.00510.x>.

r-reffectivepred 1.0.1
Propagated dependencies: r-zoo@1.8-14 r-yaml@2.3.10 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=REffectivePred
Licenses: GPL 2+
Build system: r
Synopsis: Pandemic Prediction Model in an SIRS Framework
Description:

This package provides a suite of methods to fit and predict case count data using a compartmental SIRS (Susceptible â Infectious â Recovered â Susceptible) model, based on an assumed specification of the effective reproduction number. The significance of this approach is that it relates epidemic progression to the average number of contacts of infected individuals, which decays as a function of the total susceptible fraction remaining in the population. The main functions are pred.curve(), which computes the epidemic curve for a set of parameters, and estimate.mle(), which finds the best fitting curve to observed data. The easiest way to pass arguments to the functions is via a config file, which contains input settings required for prediction, and the package offers two methods, navigate_to_config() which points the user to the configuration file, and re_predict() for starting the fit-predict process. The main model was published in Razvan G. Romanescu et al. <doi:10.1016/j.epidem.2023.100708>.

r-rmangal 2.2.2
Propagated dependencies: r-rlang@1.1.6 r-jsonlite@2.0.0 r-igraph@2.2.1 r-httr2@1.2.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rmangal/
Licenses: Expat
Build system: r
Synopsis: 'Mangal' Client
Description:

An interface to the Mangal database - a collection of ecological networks. This package includes functions to work with the Mangal RESTful API methods (<https://mangal-interactions.github.io/mangal-api/>).

r-repolr 3.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=repolr
Licenses: GPL 3
Build system: r
Synopsis: Repeated Measures Proportional Odds Logistic Regression
Description:

Fits linear models to repeated ordinal scores using GEE methodology.

r-rcmdrplugin-bws1 0.3-0
Propagated dependencies: r-survival@3.8-3 r-support-ces@0.7-0 r-support-bws@0.4-6 r-rcmdr@2.9-5 r-crossdes@1.1-2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://sites.google.com/view/r4sp/rcmdrplugin
Licenses: GPL 2+
Build system: r
Synopsis: R Commander Plug-in for Case 1 Best-Worst Scaling
Description:

Adds menu items to the R Commander for implementing case 1 (object case) best-worst scaling (BWS1) from designing choice sets to measuring preferences for items. BWS1 is a question-based survey method that constructs various combinations of items (choice sets) using the experimental designs, asks respondents to select the best and worst items in each choice set, and then measures preferences for the items by analyzing the responses. For details, refer to Aizaki and Fogarty (2023) <doi:10.1016/j.jocm.2022.100394>.

r-rtmpinv 0.2.0
Propagated dependencies: r-rclsp@0.4.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/econcz/rtmpinv
Licenses: Expat
Build system: r
Synopsis: Tabular Matrix Problems via Pseudoinverse Estimation
Description:

The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).

r-rmt 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://sites.google.com/view/lmaowisc/
Licenses: GPL 2+
Build system: r
Synopsis: Restricted Mean Time in Favor of Treatment
Description:

This package contains inferential and graphical routines for comparing two treatment arms in terms of the restricted mean time in favor of treatment.

r-resampledata3 1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/lchihara/MathStatsResamplingR
Licenses: CC0
Build system: r
Synopsis: Data Sets for "Mathematical Statistics with Resampling and R" (3rd Ed)
Description:

Data sets for Chihara and Hesterberg (2022, ISBN: 978-1-119-87404-1) "Mathematical Statistics with Resampling in R" (3rd Ed).

r-rater 1.3.2
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-loo@2.8.0 r-ggplot2@4.0.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://jeffreypullin.github.io/rater/
Licenses: GPL 2
Build system: r
Synopsis: Statistical Models of Repeated Categorical Rating Data
Description:

Fit statistical models based on the Dawid-Skene model - Dawid and Skene (1979) <doi:10.2307/2346806> - to repeated categorical rating data. Full Bayesian inference for these models is supported through the Stan modelling language. rater also allows the user to extract and plot key parameters of these models.

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Total results: 69112