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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-swcrtdesign 4.1
Propagated dependencies: r-lmertest@3.1-3 r-lme4@1.1-37 r-glmmtmb@1.1.13
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=swCRTdesign
Licenses: GPL 2
Build system: r
Synopsis: Stepped Wedge Cluster Randomized Trial (SW CRT) Design
Description:

This package provides a set of tools for examining the design and analysis aspects of stepped wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional or cohort sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials 28:182-191).

r-serosv 1.1.0
Propagated dependencies: r-stringr@1.6.0 r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-patchwork@1.3.2 r-mixdist@0.5-5 r-mgcv@1.9-4 r-magrittr@2.0.4 r-locfit@1.5-9.12 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-desolve@1.40 r-boot@1.3-32 r-bh@1.87.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://oucru-modelling.github.io/serosv/
Licenses: Expat
Build system: r
Synopsis: Model Infectious Disease Parameters from Serosurveys
Description:

An easy-to-use and efficient tool to estimate infectious diseases parameters using serological data. Implemented models include SIR models (basic_sir_model(), static_sir_model(), mseir_model(), sir_subpops_model()), parametric models (polynomial_model(), fp_model()), nonparametric models (lp_model()), semiparametric models (penalized_splines_model()), hierarchical models (hierarchical_bayesian_model()). The package is based on the book "Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statistical Perspective" (Hens, Niel & Shkedy, Ziv & Aerts, Marc & Faes, Christel & Damme, Pierre & Beutels, Philippe., 2013) <doi:10.1007/978-1-4614-4072-7>.

r-supergauss 2.0.4
Dependencies: fftw@3.3.10
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-r6@2.6.1 r-fftw@1.0-9
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mlysy/SuperGauss
Licenses: GPL 3
Build system: r
Synopsis: Superfast Likelihood Inference for Stationary Gaussian Time Series
Description:

Likelihood evaluations for stationary Gaussian time series are typically obtained via the Durbin-Levinson algorithm, which scales as O(n^2) in the number of time series observations. This package provides a "superfast" O(n log^2 n) algorithm written in C++, crossing over with Durbin-Levinson around n = 300. Efficient implementations of the score and Hessian functions are also provided, leading to superfast versions of inference algorithms such as Newton-Raphson and Hamiltonian Monte Carlo. The C++ code provides a Toeplitz matrix class packaged as a header-only library, to simplify low-level usage in other packages and outside of R.

r-surrogatetest 1.3
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SurrogateTest
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Early Testing for a Treatment Effect using Surrogate Marker Information
Description:

This package provides functions to test for a treatment effect in terms of the difference in survival between a treatment group and a control group using surrogate marker information obtained at some early time point in a time-to-event outcome setting. Nonparametric kernel estimation is used to estimate the test statistic and perturbation resampling is used for variance estimation. More details will be available in the future in: Parast L, Cai T, Tian L (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect" Biometrics, 75(4):1253-1263. <doi:10.1111/biom.13067>.

r-sign 0.1.0
Propagated dependencies: r-survival@3.8-3 r-survcomp@1.60.0 r-gsva@2.4.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SIGN
Licenses: GPL 3+
Build system: r
Synopsis: Similarity Identification in Gene Expression
Description:

This package provides a classification framework to use expression patterns of pathways as features to identify similarity between biological samples. It provides a new measure for quantifying similarity between expression patterns of pathways.

r-skylight 1.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bluegreen-labs/skylight
Licenses: AGPL 3
Build system: r
Synopsis: Simple Sky Illuminance Model
Description:

This package provides a tool to calculate sky illuminance values (in lux) for both sun and moon. The model is a translation of the Fortran code by Janiczek and DeYoung (1987) <https://archive.org/details/DTIC_ADA182110>.

r-sarp-snowprofile-pyface 0.4.3
Propagated dependencies: r-sarp-snowprofile@1.4.1 r-reticulate@1.44.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.avalancheresearch.ca
Licenses: CC-BY-SA 4.0
Build system: r
Synopsis: 'python' Modules from Snowpack and Avalanche Research
Description:

The development of post-processing functionality for simulated snow profiles by the snow and avalanche community is often done in python'. This package aims to make some of these tools accessible to R users. Currently integrated modules contain functions to calculate dry snow layer instabilities in support of avalache hazard assessments following the publications of Richter, Schweizer, Rotach, and Van Herwijnen (2019) <doi:10.5194/tc-13-3353-2019>, and Mayer, Van Herwijnen, Techel, and Schweizer (2022) <doi:10.5194/tc-2022-34>.

r-smoothy 1.0.0
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-stringr@1.6.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=smoothy
Licenses: GPL 3+
Build system: r
Synopsis: Automatic Estimation of the Most Likely Drug Combination using Smooth Algorithm
Description:

This package provides a flexible moving average algorithm for modeling drug exposure in pharmacoepidemiology studies as presented in the article: Ouchi, D., Giner-Soriano, M., Gómez-Lumbreras, A., Vedia Urgell, C.,Torres, F., & Morros, R. (2022). "Automatic Estimation of the Most Likely Drug Combination in Electronic Health Records Using the Smooth Algorithm : Development and Validation Study." JMIR medical informatics, 10(11), e37976. <doi:10.2196/37976>.

r-sylly-en 0.1-3
Propagated dependencies: r-sylly@0.1-7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://reaktanz.de/?c=hacking&s=koRpus
Licenses: GPL 3+
Build system: r
Synopsis: Language Support for 'sylly' Package: English
Description:

Adds support for the English language to the sylly package. Due to some restrictions on CRAN, the full package sources are only available from the project homepage. To ask for help, report bugs, suggest feature improvements, or discuss the global development of the package, please consider subscribing to the koRpus-dev mailing list (<http://korpusml.reaktanz.de>).

r-snapkrig 0.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/deankoch/snapKrig
Licenses: Expat
Build system: r
Synopsis: Fast Kriging and Geostatistics on Grids with Kronecker Covariance
Description:

Geostatistical modeling and kriging with gridded data using spatially separable covariance functions (Kronecker covariances). Kronecker products in these models provide shortcuts for solving large matrix problems in likelihood and conditional mean, making snapKrig computationally efficient with large grids. The package supplies its own S3 grid object class, and a host of methods including plot, print, Ops, square bracket replace/assign, and more. Our computational methods are described in Koch, Lele, Lewis (2020) <doi:10.7939/r3-g6qb-bq70>.

r-sbmedian 0.1.2
Propagated dependencies: r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SBmedian
Licenses: Expat
Build system: r
Synopsis: Scalable Bayes with Median of Subset Posteriors
Description:

Median-of-means is a generic yet powerful framework for scalable and robust estimation. A framework for Bayesian analysis is called M-posterior, which estimates a median of subset posterior measures. For general exposition to the topic, see the paper by Minsker (2015) <doi:10.3150/14-BEJ645>.

r-simulmgf 0.1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mngar/simulMGF
Licenses: Expat
Build system: r
Synopsis: Simulate SNP Matrix, Phenotype and Genotypic Effects
Description:

Simulate genotypes in SNP (single nucleotide polymorphisms) Matrix as random numbers from an uniform distribution, for diploid organisms (coded by 0, 1, 2), Sikorska et al., (2013) <doi:10.1186/1471-2105-14-166>, or half-sib/full-sib SNP matrix from real or simulated parents SNP data, assuming mendelian segregation. Simulate phenotypic traits for real or simulated SNP data, controlled by a specific number of quantitative trait loci and their effects, sampled from a Normal or an Uniform distributions, assuming a pure additive model. This is useful for testing association and genomic prediction models or for educational purposes.

r-susy 0.1.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://wtschacher.github.io/SUSY/
Licenses: GPL 2
Build system: r
Synopsis: Surrogate Synchrony
Description:

Computes synchrony as windowed cross-correlation based on two-dimensional time series in a text file you can upload. SUSY works as described in Tschacher & Meier (2020) <doi:10.1080/10503307.2019.1612114>.

r-spatialising 0.6.2
Propagated dependencies: r-terra@1.8-86 r-rcpp@1.1.0 r-comat@0.9.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://jakubnowosad.com/spatialising/
Licenses: Expat
Build system: r
Synopsis: Ising Model for Spatial Data
Description:

This package performs simulations of binary spatial raster data using the Ising model (Ising (1925) <doi:10.1007/BF02980577>; Onsager (1944) <doi:10.1103/PhysRev.65.117>). It allows to set a few parameters that represent internal and external pressures, and the number of simulations (Stepinski and Nowosad (2023) <doi:10.1098/rsos.231005>).

r-spdates 1.1
Propagated dependencies: r-viridislite@0.4.2 r-sp@2.2-0 r-smatr@3.4-8 r-rlang@1.1.6 r-rcarbon@1.5.2 r-raster@3.6-32 r-magrittr@2.0.4 r-gstat@2.1-4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spDates
Licenses: Expat
Build system: r
Synopsis: Analysis of Spatial Gradients in Radiocarbon Dates
Description:

Inspired by space-time regressions often performed to assess the expansion of the Neolithic from the Near East to Europe (Pinhasi et al. 2005 <doi:10.1371/journal.pbio.0030410>). Test for significant correlations between the (earliest) radiocarbon dates of archaeological sites and their respective distances from a hypothetical center of origin. Both ordinary least squares (OLS) and reduced major axis (RMA) methods are supported (Russell et al. 2014 <doi:10.1371/journal.pone.0087854>). It is also possible to iterate over many sites to identify the most likely origin.

r-salty 0.1.2
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.0 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/mdlincoln/salty
Licenses: Expat
Build system: r
Synopsis: Turn Clean Data into Messy Data
Description:

Take real or simulated data and salt it with errors commonly found in the wild, such as pseudo-OCR errors, Unicode problems, numeric fields with nonsensical punctuation, bad dates, etc.

r-survivalmpl 0.2-4
Propagated dependencies: r-survival@3.8-3 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survivalMPL
Licenses: LGPL 2.0+
Build system: r
Synopsis: Penalised Maximum Likelihood for Survival Analysis Models
Description:

Estimate the regression coefficients and the baseline hazard of proportional hazard Cox models with left, right or interval censored survival data using maximum penalised likelihood. A non-parametric smooth estimate of the baseline hazard function is provided.

r-stltdnn 0.1.0
Propagated dependencies: r-nnfor@0.9.9 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stlTDNN
Licenses: GPL 3
Build system: r
Synopsis: STL Decomposition and TDNN Hybrid Time Series Forecasting
Description:

Implementation of hybrid STL decomposition based time delay neural network model for univariate time series forecasting. For method details see Jha G K, Sinha, K (2014). <doi:10.1007/s00521-012-1264-z>, Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.

r-srp 1.2.0
Propagated dependencies: r-mgcv@1.9-4 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=srp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Smooth-Rough Partitioning of the Regression Coefficients
Description:

This package performs the change-point detection in regression coefficients of linear model by partitioning the regression coefficients into two classes of smoothness. The change-point and the regression coefficients are jointly estimated.

r-soc-ca 0.8.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shiny@1.11.1 r-rlang@1.1.6 r-reshape2@1.4.5 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggpp@0.5.9 r-ggplot2@4.0.1 r-forcats@1.0.1 r-ellipse@0.5.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/Rsoc/soc.ca
Licenses: GPL 3
Build system: r
Synopsis: Specific Correspondence Analysis for the Social Sciences
Description:

Specific and class specific multiple correspondence analysis on survey-like data. Soc.ca is optimized to the needs of the social scientist and presents easily interpretable results in near publication ready quality.

r-sampleselection 1.2-14
Propagated dependencies: r-vgam@1.1-13 r-systemfit@1.1-30 r-mvtnorm@1.3-3 r-misctools@0.6-28 r-maxlik@1.5-2.1 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://r-forge.r-project.org/projects/sampleselection/
Licenses: GPL 2+
Build system: r
Synopsis: Sample Selection Models
Description:

Two-step and maximum likelihood estimation of Heckman-type sample selection models: standard sample selection models (Tobit-2), endogenous switching regression models (Tobit-5), sample selection models with binary dependent outcome variable, interval regression with sample selection (only ML estimation), and endogenous treatment effects models. These methods are described in the three vignettes that are included in this package and in econometric textbooks such as Greene (2011, Econometric Analysis, 7th edition, Pearson).

r-stats19 3.4.0
Propagated dependencies: r-sf@1.0-23 r-readr@2.1.6 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ropensci/stats19
Licenses: GPL 3
Build system: r
Synopsis: Work with Open Road Traffic Casualty Data from Great Britain
Description:

Work with and download road traffic casualty data from Great Britain. Enables access to the UK's official road safety statistics, STATS19'. Enables users to specify a download directory for the data, which can be set permanently by adding `STATS19_DOWNLOAD_DIRECTORY=/path/to/a/dir` to your `.Renviron` file, which can be opened with `usethis::edit_r_environ()`. The data is provided as a series of `.csv` files. This package downloads, reads-in and formats the data, making it suitable for analysis. See the stats19 vignette for details. Data available from 1979 to 2024. See the official data series at <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data>. The package is described in a paper in the Journal of Open Source Software (Lovelace et al. 2019) <doi:10.21105/joss.01181>. See Gilardi et al. (2022) <doi:10.1111/rssa.12823>, Vidal-Tortosa et al. (2021) <doi:10.1016/j.jth.2021.101291>, Tait et al. (2023) <doi:10.1016/j.aap.2022.106895>, and León et al. (2025) <doi:10.18637/jss.v114.i09> for examples of how the data can be used for methodological and empirical research.

r-sentryr 1.1.2
Propagated dependencies: r-uuid@1.2-1 r-tibble@3.3.0 r-stringr@1.6.0 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jcpsantiago/sentryR
Licenses: Expat
Build system: r
Synopsis: Send Errors and Messages to Sentry
Description:

Unofficial client for Sentry <https://sentry.io>, a self-hosted or cloud-based error-monitoring service. It will inform about errors in real-time, and includes integration with the Plumber package.

r-shiva 1.0.2
Propagated dependencies: r-psych@2.5.6 r-phylolm@2.6.5 r-mass@7.3-65 r-igraph@2.2.1 r-glmnet@4.1-10 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ShiVa
Licenses: GPL 3+
Build system: r
Synopsis: Detection of Evolutionary Shifts in Both Optimal Value and Variance
Description:

This package implements statistical methods for detecting evolutionary shifts in both the optimal trait value (mean) and evolutionary diffusion variance. The method uses an L1-penalized optimization framework to identify branches where shifts occur, and the shift magnitudes. It also supports the inclusion of measurement error. For more details, see Zhang, Ho, and Kenney (2023) <doi:10.48550/arXiv.2312.17480>.

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