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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-rtcc 0.1.1
Propagated dependencies: r-vegan@2.7-2 r-testthat@3.3.0 r-rcpp@1.1.0 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RTCC
Licenses: GPL 3
Build system: r
Synopsis: Detecting Trait Clustering in Environmental Gradients
Description:

The Randomized Trait Community Clustering method (Triado-Margarit et al., 2019, <doi:10.1038/s41396-019-0454-4>) is a statistical approach which allows to determine whether if an observed trait clustering pattern is related to an increasing environmental constrain. The method 1) determines whether exists or not a trait clustering on the sampled communities and 2) assess if the observed clustering signal is related or not to an increasing environmental constrain along an environmental gradient. Also, when the effect of the environmental gradient is not linear, allows to determine consistent thresholds on the community assembly based on trait-values.

r-rcarbon 1.5.2
Propagated dependencies: r-spatstat-model@3.5-0 r-spatstat-linnet@3.3-2 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1 r-snow@0.4-4 r-sf@1.0-23 r-knitr@1.50 r-iterators@1.0.14 r-foreach@1.5.2 r-dosnow@1.0.20
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ahb108/rcarbon/
Licenses: GPL 2+
Build system: r
Synopsis: Calibration and Analysis of Radiocarbon Dates
Description:

Enables the calibration and analysis of radiocarbon dates, often but not exclusively for the purposes of archaeological research. It includes functions not only for basic calibration, uncalibration, and plotting of one or more dates, but also a statistical framework for building demographic and related longitudinal inferences from aggregate radiocarbon date lists, including: Monte-Carlo simulation test (Timpson et al 2014 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).

r-ryandexdirect 3.6.2
Propagated dependencies: r-xml2@1.5.0 r-tidyr@1.3.1 r-stringr@1.6.0 r-readr@2.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-data-table@1.17.8 r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://selesnow.github.io/ryandexdirect/
Licenses: GPL 2
Build system: r
Synopsis: Load Data From 'Yandex Direct'
Description:

Load data from Yandex Direct API V5 <https://yandex.ru/dev/direct/doc/dg/concepts/about-docpage> into R. Provide function for load lists of campaings, ads, keywords and other objects from Yandex Direct account. Also you can load statistic from API Reports Service <https://yandex.ru/dev/direct/doc/reports/reports-docpage>. And allows keyword bids management.

r-refseqr 1.1.5
Propagated dependencies: r-tibble@3.3.0 r-rentrez@1.2.4 r-iranges@2.44.0 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jdieramon/refseqR
Licenses: Expat
Build system: r
Synopsis: Common Computational Operations Working with RefSeq Entries (GenBank)
Description:

Fetches NCBI data (RefSeq <https://www.ncbi.nlm.nih.gov/refseq/> database) and provides an environment to extract information at the level of gene, mRNA or protein accessions.

r-rpart-plot 3.1.4
Propagated dependencies: r-rpart@4.1.24
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.milbo.org/rpart-plot/index.html
Licenses: GPL 3
Build system: r
Synopsis: Plot 'rpart' Models: An Enhanced Version of 'plot.rpart'
Description:

Plot rpart models. Extends plot.rpart() and text.rpart() in the rpart package.

r-rmlnomogram 0.1.2
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-purrr@1.2.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rmlnomogram
Licenses: Expat
Build system: r
Synopsis: Construct Explainable Nomogram for a Machine Learning Model
Description:

Construct an explainable nomogram for a machine learning (ML) model to improve availability of an ML prediction model in addition to a computer application, particularly in a situation where a computer, a mobile phone, an internet connection, or the application accessibility are unreliable. This package enables a nomogram creation for any ML prediction models, which is conventionally limited to only a linear/logistic regression model. This nomogram may indicate the explainability value per feature, e.g., the Shapley additive explanation value, for each individual. However, this package only allows a nomogram creation for a model using categorical without or with single numerical predictors. Detailed methodologies and examples are documented in our vignette, available at <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.

r-reval 3.1-0
Propagated dependencies: r-rlang@1.1.6 r-purrr@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mkoohafkan/reval
Licenses: GPL 3+
Build system: r
Synopsis: Argument Table Generation for Sensitivity Analysis
Description:

Simplified scenario testing and sensitivity analysis, redesigned to use packages future and furrr'. Provides functions for generating function argument sets using one-factor-at-a-time (OFAT) and (sampled) permutations.

r-rocker 0.3.2
Propagated dependencies: r-sodium@1.4.0 r-r6@2.6.1 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/nikolaus77/rocker
Licenses: Expat
Build system: r
Synopsis: Database Interface Class
Description:

R6 class interface for handling relational database connections using DBI package as backend. The class allows handling of connections to e.g. PostgreSQL, MariaDB and SQLite. The purpose is having an intuitive object allowing straightforward handling of SQL databases.

r-redist 4.3.2
Dependencies: python@3.11.14
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-sys@3.4.3 r-stringr@1.6.0 r-sf@1.0-23 r-servr@0.32 r-rlang@1.1.6 r-redistmetrics@1.0.11 r-rcppthread@2.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-patchwork@1.3.2 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-dorng@1.8.6.2 r-doparallel@1.0.17 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://alarm-redist.org/redist/
Licenses: GPL 2+
Build system: r
Synopsis: Simulation Methods for Legislative Redistricting
Description:

Enables researchers to sample redistricting plans from a pre-specified target distribution using Sequential Monte Carlo and Markov Chain Monte Carlo algorithms. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements. Tools for analysis such as computation of various summary statistics and plotting functionality are also included. The package implements the SMC algorithm of McCartan and Imai (2023) <doi:10.1214/23-AOAS1763>, the enumeration algorithm of Fifield, Imai, Kawahara, and Kenny (2020) <doi:10.1080/2330443X.2020.1791773>, the Flip MCMC algorithm of Fifield, Higgins, Imai and Tarr (2020) <doi:10.1080/10618600.2020.1739532>, the Merge-split/Recombination algorithms of Carter et al. (2019) <doi:10.48550/arXiv.1911.01503> and DeFord et al. (2021) <doi:10.1162/99608f92.eb30390f>, and the Short-burst optimization algorithm of Cannon et al. (2020) <doi:10.48550/arXiv.2011.02288>.

r-rotatogram 0.1.3
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rotatogram
Licenses: Expat
Build system: r
Synopsis: Non-Axis-Dominant Association Plotting Tool
Description:

This package provides a rotatogram is a method of displaying an association which is axis non-dominant. This is achieved in two ways: First, the method of estimating the slope and intercept uses the least-products method rather than more typical least squared error for the "dependent" variable. The least products method has no "dependent" variable and is scale independent. Second, the plot is rotated such that the resulting regression line is vertical, reducing the suggestion that the vertical axis is the dominant one. The slope can be read relative to either axis equally.

r-repana 2.2.1
Propagated dependencies: r-yaml@2.3.10 r-rstudioapi@0.17.1 r-rmarkdown@2.30 r-readr@2.1.6 r-processx@3.8.6 r-pool@1.0.4 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4 r-digest@0.6.39 r-dbi@1.2.3 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/johnaponte/repana
Licenses: GPL 3+
Build system: r
Synopsis: Repeatable Analysis in R
Description:

Set of utilities to facilitate the reproduction of analysis in R. It allow to make_structure(), clean_structure(), and run and log programs in a predefined order to allow secondary files, analysis and reports be constructed in an ordered and reproducible form.

r-rolog 0.9.25
Dependencies: swi-prolog@9.3.8
Propagated dependencies: r-rswipl@10.1.4 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mgondan/rolog
Licenses: FSDG-compatible
Build system: r
Synopsis: Query 'SWI'-'Prolog' from R
Description:

This R package connects to SWI-Prolog, <https://www.swi-prolog.org/>, so that R can send deterministic and non-deterministic queries to prolog (consult, query/submit, once, findall).

r-respirometry 2.0.2
Propagated dependencies: r-segmented@2.1-4 r-seacarb@3.3.3 r-rlang@1.1.6 r-plyr@1.8.9 r-minpack-lm@1.2-4 r-measurements@1.5.1 r-marelac@2.1.11 r-lubridate@1.9.4 r-dplyr@1.1.4 r-birk@2.1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=respirometry
Licenses: GPL 3
Build system: r
Synopsis: Tools for Conducting and Analyzing Respirometry Experiments
Description:

This package provides tools to enable the researcher to more precisely conduct respirometry experiments. Strong emphasis is on aquatic respirometry. Tools focus on helping the researcher setup and conduct experiments. Functions for analysis of resulting respirometry data are also provided. This package provides tools for intermittent, flow-through, and closed respirometry techniques.

r-rtmbdist 1.0.1
Propagated dependencies: r-statmod@1.5.1 r-sn@2.1.1 r-rtmb@1.8 r-movmf@0.2-10 r-gamlss-dist@6.1-1 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://janolefi.github.io/RTMBdist/
Licenses: Expat
Build system: r
Synopsis: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description:

Extends the functionality of the RTMB <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While RTMB enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.

r-r2sample 4.1.0
Propagated dependencies: r-shiny@1.11.1 r-rcpp@1.1.0 r-microbenchmark@1.5.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=R2sample
Licenses: GPL 2+
Build system: r
Synopsis: Various Methods for the Two Sample Problem
Description:

The routine twosample_test() in this package runs the two sample test using various test statistic. The p values are found via permutation or large sample theory. The routine twosample_power() allows the calculation of the power in various cases, and plot_power() draws the corresponding power graphs. The routine run.studies allows a user to quickly study the power of a new method and how it compares to some of the standard ones.

r-retry 0.1.1
Propagated dependencies: r-rlang@1.1.6 r-later@1.4.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/randy3k/retry
Licenses: Expat
Build system: r
Synopsis: Repeated Evaluation
Description:

Provide simple mechanism to repeatedly evaluate an expression until either it succeeds or timeout exceeded. It is useful in situations that random failures could happen.

r-rollbar 0.1.0
Propagated dependencies: r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rollbar
Licenses: Expat
Build system: r
Synopsis: Error Tracking and Logging
Description:

Reports errors and messages to Rollbar, the error tracking platform <https://rollbar.com>.

r-robmixreg 1.1.0
Propagated dependencies: r-scales@1.4.0 r-robustbase@0.99-6 r-robust@0.7-5 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-mass@7.3-65 r-lars@1.3 r-gtools@3.9.5 r-gplots@3.2.0 r-glmnet@4.1-10 r-flexmix@2.3-20 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://changwn.github.io/RobMixReg/
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Robust Mixture Regression
Description:

Finite mixture models are a popular technique for modelling unobserved heterogeneity or to approximate general distribution functions in a semi-parametric way. They are used in a lot of different areas such as astronomy, biology, economics, marketing or medicine. This package is the implementation of popular robust mixture regression methods based on different algorithms including: fleximix, finite mixture models and latent class regression; CTLERob, component-wise adaptive trimming likelihood estimation; mixbi, bi-square estimation; mixL, Laplacian distribution; mixt, t-distribution; TLE, trimmed likelihood estimation. The implemented algorithms includes: CTLERob stands for Component-wise adaptive Trimming Likelihood Estimation based mixture regression; mixbi stands for mixture regression based on bi-square estimation; mixLstands for mixture regression based on Laplacian distribution; TLE stands for Trimmed Likelihood Estimation based mixture regression. For more detail of the algorithms, please refer to below references. Reference: Chun Yu, Weixin Yao, Kun Chen (2017) <doi:10.1002/cjs.11310>. NeyKov N, Filzmoser P, Dimova R et al. (2007) <doi:10.1016/j.csda.2006.12.024>. Bai X, Yao W. Boyer JE (2012) <doi:10.1016/j.csda.2012.01.016>. Wennan Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao (2020) <arXiv:2005.11599>.

r-r4couchdb 0.7.5
Propagated dependencies: r-rjsonio@2.0.0 r-rcurl@1.98-1.17 r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/wactbprot/R4CouchDB
Licenses: Expat
Build system: r
Synopsis: R Convenience Layer for CouchDB 2.0
Description:

This package provides a collection of functions for basic database and document management operations such as add, get, list access or delete. Every cdbFunction() gets and returns a list() containing the connection setup. Such a list can be generated by cdbIni().

r-robustcalibration 0.5.6
Propagated dependencies: r-robustgasp@0.6.8 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-nloptr@2.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RobustCalibration
Licenses: GPL 2+
Build system: r
Synopsis: Robust Calibration of Imperfect Mathematical Models
Description:

This package implements full Bayesian analysis for calibrating mathematical models with new methodology for modeling the discrepancy function. It allows for emulation, calibration and prediction using complex mathematical model outputs and experimental data. See the reference: Mengyang Gu and Long Wang, 2018, Journal of Uncertainty Quantification; Mengyang Gu, Fangzheng Xie and Long Wang, 2022, Journal of Uncertainty Quantification; Mengyang Gu, Kyle Anderson and Erika McPhillips, 2023, Technometrics.

r-replacer 1.0.2
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=replacer
Licenses: GPL 3
Build system: r
Synopsis: Value Replacement Utility
Description:

Updates values within csv format data files using a custom, User-built csv format lookup file. Based on data.table package.

r-rwinedt 2.0-6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.winedt.com/
Licenses: GPL 2
Build system: r
Synopsis: R Interface to 'WinEdt'
Description:

This package provides a plug in for using WinEdt as an editor for R.

r-rtry 1.1.0
Propagated dependencies: r-tidyr@1.3.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/MPI-BGC-Functional-Biogeography/rtry
Licenses: FSDG-compatible
Build system: r
Synopsis: Preprocessing Plant Trait Data
Description:

Designed to support the application of plant trait data providing easy applicable functions for the basic steps of data preprocessing, e.g. data import, data exploration, selection of columns and rows, excluding trait data according to different attributes, geocoding, long- to wide-table transformation, and data export. rtry was initially developed as part of the TRY R project to preprocess trait data received via the TRY database.

r-roptimus 3.0.0
Propagated dependencies: r-iterators@1.0.14 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/SahakyanLab/ROptimus
Licenses: GPL 3+
Build system: r
Synopsis: Parallel General-Purpose Adaptive Optimisation Engine
Description:

This package provides a general-purpose optimisation engine that supports i) Monte Carlo optimisation with Metropolis criterion [Metropolis et al. (1953) <doi:10.1063/1.1699114>, Hastings (1970) <doi:10.1093/biomet/57.1.97>] and Acceptance Ratio Simulated Annealing [Kirkpatrick et al. (1983) <doi:10.1126/science.220.4598.671>, Ä erný (1985) <doi:10.1007/BF00940812>] on multiple cores, and ii) Acceptance Ratio Replica Exchange Monte Carlo Optimisation. In each case, the system pseudo-temperature is dynamically adjusted such that the observed acceptance ratio is kept near to the desired (fixed or changing) acceptance ratio.

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