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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-sdtmchecks 1.0.0
Propagated dependencies: r-tidyselect@1.2.1 r-openxlsx@4.2.8.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://pharmaverse.github.io/sdtmchecks/
Licenses: FSDG-compatible
Build system: r
Synopsis: Data Quality Checks for Study Data Tabulation Model (SDTM) Datasets
Description:

This package provides a series of checks to identify common issues in Study Data Tabulation Model (SDTM) datasets. These checks are intended to be generalizable, actionable, and meaningful for analysis.

r-spacoap 1.3
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-mass@7.3-65 r-laplacesdemon@16.1.6 r-irlba@2.3.5.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/feiyoung/SpaCOAP
Licenses: GPL 3
Build system: r
Synopsis: High-Dimensional Spatial Covariate-Augmented Overdispersed Poisson Factor Model
Description:

This package provides a spatial covariate-augmented overdispersed Poisson factor model is proposed to perform efficient latent representation learning method for high-dimensional large-scale spatial count data with additional covariates.

r-stepr 2.1-10
Propagated dependencies: r-rcpp@1.1.0 r-r-cache@0.17.0 r-lowpassfilter@1.0-2 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=stepR
Licenses: GPL 3
Build system: r
Synopsis: Multiscale Change-Point Inference
Description:

Allows fitting of step-functions to univariate serial data where neither the number of jumps nor their positions is known by implementing the multiscale regression estimators SMUCE, simulataneous multiscale changepoint estimator, (K. Frick, A. Munk and H. Sieling, 2014) <doi:10.1111/rssb.12047> and HSMUCE, heterogeneous SMUCE, (F. Pein, H. Sieling and A. Munk, 2017) <doi:10.1111/rssb.12202>. In addition, confidence intervals for the change-point locations and bands for the unknown signal can be obtained.

r-shark4r 1.0.3
Propagated dependencies: r-worrms@0.4.3 r-vroom@1.6.6 r-tidyr@1.3.1 r-terra@1.8-86 r-stringi@1.8.7 r-sp@2.2-0 r-sf@1.0-23 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 r-purrr@1.2.0 r-lifecycle@1.0.4 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sharksmhi.github.io/SHARK4R/
Licenses: Expat
Build system: r
Synopsis: Accessing and Validating Marine Environmental Data from 'SHARK' and Related Databases
Description:

This package provides functions to retrieve, process, analyze, and quality-control marine physical, chemical, and biological data. The main focus is on Swedish monitoring data available through the SHARK database <https://shark.smhi.se/en/>, with additional API support for Nordic Microalgae <https://nordicmicroalgae.org/>, Dyntaxa <https://artfakta.se/>, World Register of Marine Species ('WoRMS') <https://www.marinespecies.org>, AlgaeBase <https://www.algaebase.org>, OBIS xylookup web service <https://iobis.github.io/xylookup/> and Intergovernmental Oceanographic Commission (IOC) - UNESCO databases on harmful algae <https://www.marinespecies.org/hab/> and toxins <https://toxins.hais.ioc-unesco.org/>.

r-slash 0.2.0
Propagated dependencies: r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/feddelegrand7/slash
Licenses: Expat
Build system: r
Synopsis: Path-Based Access and Manipulation of Nested Lists
Description:

Allows users to list data structures using path-based navigation. Provides intuitive methods for storing, accessing, and manipulating nested data through simple path strings. Key features include strict mode validation, path existence checking, recursive operations, and automatic parent-level creation. Designed for use cases requiring organized storage of complex nested data while maintaining simple access patterns. Particularly useful for configuration management, nested settings, and any application where data naturally forms a tree-like structure.

r-subniche 1.6
Propagated dependencies: r-wordcloud@2.6 r-polyclip@1.10-7 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=subniche
Licenses: GPL 2+
Build system: r
Synopsis: Within Outlying Mean Indexes: Refining the 'OMI' Analysis
Description:

Complementary indexes calculation to the Outlying Mean Index analysis to explore niche shift of a community and biological constraint within an Euclidean space, with graphical displays. For details see Karasiewicz et al. (2017) <doi:10.7717/peerj.3364>.

r-survmi 0.1.0
Propagated dependencies: r-zoo@1.8-14 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=SurvMI
Licenses: GPL 2
Build system: r
Synopsis: Multiple Imputation Method in Survival Analysis
Description:

In clinical trials, endpoints are sometimes evaluated with uncertainty. Adjudication is commonly adopted to ensure the study integrity. We propose to use multiple imputation (MI) introduced by Robin (1987) <doi:10.1002/9780470316696> to incorporate these uncertainties if reasonable event probabilities were provided. The method has been applied to Cox Proportional Hazard (PH) model, Kaplan-Meier (KM) estimation and Log-rank test in this package. Moreover, weighted estimations discussed in Cook (2004) <doi:10.1016/S0197-2456(00)00053-2> were also implemented with weights calculated from event probabilities. In conclusion, this package can handle time-to-event analysis if events presented with uncertainty by different methods.

r-statisfactory 1.0.4
Propagated dependencies: r-omnibus@1.2.15
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/adamlilith/statisfactory
Licenses: GPL 3+
Build system: r
Synopsis: Statistical and Geometrical Tools
Description:

This package provides a collection of statistical and geometrical tools including the aligned rank transform (ART; Higgins et al. 1990 <doi:10.4148/2475-7772.1443>; Peterson 2002 <doi:10.22237/jmasm/1020255240>; Wobbrock et al. 2011 <doi:10.1145/1978942.1978963>), 2-D histograms and histograms with overlapping bins, a function for making all possible formulae within a set of constraints, amongst others.

r-scrt 1.3.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SCRT
Licenses: GPL 2+
Build system: r
Synopsis: Single-Case Randomization Tests
Description:

Design single-case phase, alternation and multiple-baseline experiments, and conduct randomization tests on data gathered by means of such designs, as discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

r-slendr 1.4.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-reticulate@1.44.1 r-readr@2.1.6 r-purrr@1.2.0 r-png@0.1-8 r-magrittr@2.0.4 r-ijtiff@3.2.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-digest@0.6.39 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/bodkan/slendr
Licenses: Expat
Build system: r
Synopsis: Simulation Framework for Spatiotemporal Population Genetics
Description:

This package provides a framework for simulating spatially explicit genomic data which leverages real cartographic information for programmatic and visual encoding of spatiotemporal population dynamics on real geographic landscapes. Population genetic models are then automatically executed by the SLiM software by Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a custom built-in simulation SLiM script. Additionally, fully abstract spatial models not tied to a specific geographic location are supported, and users can also simulate data from standard, non-spatial, random-mating models. These can be simulated either with the SLiM built-in back-end script, or using an efficient coalescent population genetics simulator msprime by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a custom-built Python script bundled with the R package. Simulated genomic data is saved in a tree-sequence format and can be loaded, manipulated, and summarised using tree-sequence functionality via an R interface to the Python module tskit by Kelleher et al. (2019) <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation and analysis pipelines can be therefore constructed without a need to leave the R environment, eliminating friction between disparate tools for population genetic simulations and data analysis.

r-starsextra 0.2.8
Propagated dependencies: r-units@1.0-0 r-stars@0.6-8 r-sf@1.0-23 r-nngeo@0.4.8 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://michaeldorman.github.io/starsExtra/
Licenses: Expat
Build system: r
Synopsis: Miscellaneous Functions for Working with 'stars' Rasters
Description:

Miscellaneous functions for working with stars objects, mainly single-band rasters. Currently includes functions for: (1) focal filtering, (2) detrending of Digital Elevation Models, (3) calculating flow length, (4) calculating the Convergence Index, (5) calculating topographic aspect and topographic slope.

r-subgxe 0.9.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/umich-cphds/subgxe
Licenses: GPL 3
Build system: r
Synopsis: Combine Multiple GWAS by Using Gene-Environment Interactions
Description:

Classical methods for combining summary data from genome-wide association studies (GWAS) only use marginal genetic effects and power can be compromised in the presence of heterogeneity. subgxe is a R package that implements p-value assisted subset testing for association (pASTA), a method developed by Yu et al. (2019) <doi:10.1159/000496867>. pASTA generalizes association analysis based on subsets by incorporating gene-environment interactions into the testing procedure.

r-survsakk 1.3.3
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://sakk-statistics.github.io/survSAKK/
Licenses: GPL 2+
Build system: r
Synopsis: Create Publication Ready Kaplan-Meier Plots
Description:

Incorporate various statistics and layout customization options to enhance the efficiency and adaptability of the Kaplan-Meier plots.

r-ssaforecast 0.1.1
Propagated dependencies: r-rssa@1.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSAforecast
Licenses: GPL 3
Build system: r
Synopsis: SSA Based Decomposition and Forecasting
Description:

Singular spectrum analysis (SSA) decomposes a time series into interpretable components like trends, oscillations, and noise without strict distributional and structural assumptions. For method details see Golyandina N, Zhigljavsky A (2013). <doi:10.1007/978-3-642-34913-3>.

r-sei 0.2.0
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-lmom@3.2 r-ggplot2@4.0.1 r-gamlss-dist@6.1-1 r-gamlss@5.5-0 r-flexsurv@2.3.2 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/noeliaof/SEI
Licenses: GPL 2+
Build system: r
Synopsis: Calculating Standardised Indices
Description:

Convert a time series of observations to a time series of standardised indices that can be used to monitor variables on a common and probabilistically interpretable scale. The indices can be aggregated and rescaled to different time scales, visualised using plot capabilities, and calculated using a range of distributions. This includes flexible non-parametric and non-stationary methods.

r-srvyr 1.3.1
Propagated dependencies: r-vctrs@0.6.5 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-survey@4.4-8 r-rlang@1.1.6 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://gdfe.co/srvyr/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: 'dplyr'-Like Syntax for Summary Statistics of Survey Data
Description:

Use piping, verbs like group_by and summarize', and other dplyr inspired syntactic style when calculating summary statistics on survey data using functions from the survey package.

r-shapefiles 0.7.2
Propagated dependencies: r-foreign@0.8-90
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=shapefiles
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Read and Write ESRI Shapefiles
Description:

This package provides functions to read and write ESRI shapefiles.

r-sensobol 1.1.6
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-rfast@2.1.5.2 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-randtoolbox@2.0.5 r-matrixstats@1.5.0 r-magrittr@2.0.4 r-lhs@1.2.0 r-ggplot2@4.0.1 r-desolve@1.40 r-data-table@1.17.8 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/arnaldpuy/sensobol
Licenses: GPL 3
Build system: r
Synopsis: Computation of Variance-Based Sensitivity Indices
Description:

It allows to rapidly compute, bootstrap and plot up to fourth-order Sobol'-based sensitivity indices using several state-of-the-art first and total-order estimators. Sobol indices can be computed either for models that yield a scalar as a model output or for systems of differential equations. The package also provides a suit of benchmark tests functions and several options to obtain publication-ready figures of the model output uncertainty and sensitivity-related analysis. An overview of the package can be found in Puy et al. (2022) <doi:10.18637/jss.v102.i05>.

r-specieschrom 1.0.0
Propagated dependencies: r-reshape2@1.4.5 r-ggplot2@4.0.1 r-colorramps@2.3.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/loick-klpr/specieschrom
Licenses: GPL 3
Build system: r
Synopsis: The Species Chromatogram
Description:

This package provides a simple method to display and characterise the multidimensional ecological niche of a species. The method also estimates the optimums and amplitudes along each niche dimension. Give also an estimation of the degree of niche overlapping between species. See Kleparski and Beaugrand (2022) <doi:10.1002/ece3.8830> for further details.

r-spork 0.3.5
Propagated dependencies: r-png@0.1-8 r-latexpdf@0.1.8 r-kableextra@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=spork
Licenses: GPL 3
Build system: r
Synopsis: Generalized Label Formatting
Description:

The spork syntax describes label formatting concisely, supporting mixed nesting of subscripts and superscripts to arbitrary depth. It intends to be easy to read and write in plain text, and easy to convert to equivalent presentations in plotmath', latex', and html'. Greek symbols and a multiplication symbol are explicitly supported. See ?as_spork and ?as_previews.

r-simtargetcov 1.0.1
Propagated dependencies: 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=simTargetCov
Licenses: GPL 2+
Build system: r
Synopsis: Data Transformation or Simulation with Empirical Covariance Matrix
Description:

Transforms or simulates data with a target empirical covariance matrix supplied by the user. The method to obtain the data with the target empirical covariance matrix is described in Section 5.1 of Christidis, Van Aelst and Zamar (2019) <arXiv:1812.05678>.

r-subgrpid 0.13
Propagated dependencies: r-survival@3.8-3 r-rpart@4.1.24 r-matrix@1.7-4 r-mass@7.3-65 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SubgrpID
Licenses: GPL 2+
Build system: r
Synopsis: Patient Subgroup Identification for Clinical Drug Development
Description:

Implementation of Sequential BATTing (bootstrapping and aggregating of thresholds from trees) for developing threshold-based multivariate (prognostic/predictive) biomarker signatures. Variable selection is automatically built-in. Final signatures are returned with interaction plots for predictive signatures. Cross-validation performance evaluation and testing dataset results are also output. Detail algorithms are described in Huang et al (2017) <doi:10.1002/sim.7236>.

r-seqshp 0.1.1
Propagated dependencies: r-haven@2.5.5 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=seqSHP
Licenses: GPL 3+
Build system: r
Synopsis: Building Sequences from SHP Waves
Description:

Based on the structure of the SPSS version of the Swiss Household Panel (SHP) data, provides a function seqFromWaves() that seeks the data of variables specified by the user in each of the wave files and collects them as sequences. The function also matches the sequences with variables from other files such as the master files of persons (MP) and households (MH), and social origins (SO). It can also match with activity calendar data (CA).

r-stopes 0.2
Propagated dependencies: r-mass@7.3-65 r-glmnet@4.1-10 r-cvtools@0.3.3 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=STOPES
Licenses: GPL 2
Build system: r
Synopsis: Selection Threshold Optimized Empirically via Splitting
Description:

This package implements variable selection procedures for low to moderate size generalized linear regressions models. It includes the STOPES functions for linear regression (Capanu M, Giurcanu M, Begg C, Gonen M, Optimized variable selection via repeated data splitting, Statistics in Medicine, 2020, 19(6):2167-2184) as well as subsampling based optimization methods for generalized linear regression models (Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling based variable selection for generalized linear models).

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