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r-bootnet 1.6
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.2.1 r-snow@0.4-4 r-rlang@1.1.6 r-qgraph@1.9.8 r-pbapply@1.7-2 r-networktools@1.6.0 r-networktoolbox@1.4.4 r-mvtnorm@1.3-3 r-mgm@1.2-15 r-matrix@1.7-3 r-isingsampler@0.2.4 r-isingfit@0.4 r-igraph@2.1.4 r-gtools@3.9.5 r-ggplot2@3.5.2 r-dplyr@1.1.4 r-corpcor@1.6.10 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://github.com/SachaEpskamp/bootnet
Licenses: GPL 2
Synopsis: Bootstrap Methods for Various Network Estimation Routines
Description:

Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for various estimation routines.

r-bayesbp 1.1
Propagated dependencies: r-openxlsx@4.2.8 r-iterators@1.0.14
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=BayesBP
Licenses: GPL 2+
Synopsis: Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Description:

Smoothed lexis diagrams with Bayesian method specifically tailored to cancer incidence data. Providing to calculating slope and constructing credible interval. LC Chien et al. (2015) <doi:10.1080/01621459.2015.1042106>. LH Chien et al. (2017) <doi:10.1002/cam4.1102>.

r-benford 1.0.1
Channel: guix-cran
Location: guix-cran/packages/b.scm (guix-cran packages b)
Home page: https://cran.r-project.org/package=benford
Licenses: FSDG-compatible
Synopsis: Benford's Analysis on Large Data Sets
Description:

Perform the Benford's Analysis to a data set in order to evaluate if it contains human fabricated data. For more details on the method see Moreau, 2021, Model Assist. Statist. Appl., 16 (2021) 73â 79. <doi:10.3233/MAS-210517>.

r-ceodata 1.3.1.1
Propagated dependencies: r-urltools@1.7.3 r-stringr@1.5.1 r-jsonlite@2.0.0 r-haven@2.5.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://ceo.gencat.cat/ca/inici/
Licenses: GPL 3
Synopsis: Datasets of the CEO (Centre d'Estudis d'Opinio) for Opinion Polls in Catalonia
Description:

Easy and convenient access to the datasets of the "Centre d'Estudis d'Opinio", the Catalan institution for polling and public opinion. The package uses the data stored in the servers of the CEO and returns it in a tidy format.

r-carsurv 1.0.0
Propagated dependencies: r-survival@3.8-3 r-rcpp@1.0.14 r-mboost@2.9-11 r-fdrtool@1.2.18 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=carSurv
Licenses: GPL 3
Synopsis: Correlation-Adjusted Regression Survival (CARS) Scores
Description:

This package contains functions to estimate the Correlation-Adjusted Regression Survival (CARS) Scores. The method is described in Welchowski, T. and Zuber, V. and Schmid, M., (2018), Correlation-Adjusted Regression Survival Scores for High-Dimensional Variable Selection, <arXiv:1802.08178>.

r-comclim 0.9.6
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=comclim
Licenses: GPL 3
Synopsis: Community Climate Statistics
Description:

Computes community climate statistics for volume and mismatch using species climate niches either unscaled or scaled relative to a regional species pool. These statistics can be used to describe biogeographic patterns and infer community assembly processes. Includes a vignette outlining usage.

r-causact 0.5.7
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.5.1 r-rstudioapi@0.17.1 r-rlang@1.1.6 r-reticulate@1.42.0 r-purrr@1.0.4 r-magrittr@2.0.3 r-lifecycle@1.0.4 r-igraph@2.1.4 r-ggplot2@3.5.2 r-forcats@1.0.0 r-dplyr@1.1.4 r-diagrammer@1.0.11 r-cowplot@1.1.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/flyaflya/causact
Licenses: Expat
Synopsis: Fast, Easy, and Visual Bayesian Inference
Description:

Accelerate Bayesian analytics workflows in R through interactive modelling, visualization, and inference. Define probabilistic graphical models using directed acyclic graphs (DAGs) as a unifying language for business stakeholders, statisticians, and programmers. This package relies on interfacing with the numpyro python package.

r-daymetr 1.7.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.2.1 r-terra@1.8-50 r-sf@1.0-21 r-ncdf4@1.24 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/bluegreen-labs/daymetr
Licenses: AGPL 3
Synopsis: Interface to the 'Daymet' Web Services
Description:

Programmatic interface to the Daymet web services (<http://daymet.ornl.gov>). Allows for easy downloads of Daymet climate data directly to your R workspace or your computer. Routines for both single pixel data downloads and gridded (netCDF) data are provided.

r-dsbayes 2023.1.0
Propagated dependencies: r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DSBayes
Licenses: GPL 2+
Synopsis: Bayesian Subgroup Analysis in Clinical Trials
Description:

Calculate posterior modes and credible intervals of parameters of the Dixon-Simon model for subgroup analysis (with binary covariates) in clinical trials. For details of the methodology, please refer to D.O. Dixon and R. Simon (1991), Biometrics, 47: 871-881.

r-diezeit 0.1-0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-brew@1.0-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diezeit
Licenses: Expat
Synopsis: R Interface to the ZEIT ONLINE Content API
Description:

This package provides a wrapper for the ZEIT ONLINE Content API, available at <http://developer.zeit.de>. diezeit gives access to articles and corresponding metadata from the ZEIT archive and from ZEIT ONLINE. A personal API key is required for usage.

r-fastnet 1.0.0
Propagated dependencies: r-tidygraph@1.3.1 r-igraph@2.1.4 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/f.scm (guix-cran packages f)
Home page: https://cran.r-project.org/package=fastnet
Licenses: GPL 2+
Synopsis: Large-Scale Social Network Analysis
Description:

We present an implementation of the algorithms required to simulate large-scale social networks and retrieve their most relevant metrics. Details can be found in the accompanying scientific paper on the Journal of Statistical Software, <doi:10.18637/jss.v096.i07>.

r-isoweek 0.6-2
Propagated dependencies: r-stringr@1.5.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISOweek
Licenses: GPL 2+
Synopsis: Week of the year and weekday according to ISO 8601
Description:

This is an substitute for the %V and %u formats which are not implemented on Windows. In addition, the package offers functions to convert from standard calender format yyyy-mm-dd to and from ISO 8601 week format yyyy-Www-d.

r-lesssem 1.5.5
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.5.1 r-rlang@1.1.6 r-rcppparallel@5.1.10 r-rcpparmadillo@14.4.2-1 r-rcpp@1.0.14 r-numderiv@2016.8-1.1 r-mvtnorm@1.3-3 r-lavaan@0.6-19 r-ggplot2@3.5.2
Channel: guix-cran
Location: guix-cran/packages/l.scm (guix-cran packages l)
Home page: https://github.com/jhorzek/lessSEM
Licenses: GPL 2+
Synopsis: Non-Smooth Regularization for Structural Equation Models
Description:

This package provides regularized structural equation modeling (regularized SEM) with non-smooth penalty functions (e.g., lasso) building on lavaan'. The package is heavily inspired by the ['regsem'](<https://github.com/Rjacobucci/regsem>) and ['lslx'](<https://github.com/psyphh/lslx>) packages.

r-memgene 1.0.2
Propagated dependencies: r-vegan@2.6-10 r-sp@2.2-0 r-raster@3.6-32 r-gdistance@1.6.4 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=memgene
Licenses: GPL 2+
Synopsis: Spatial Pattern Detection in Genetic Distance Data Using Moran's Eigenvector Maps
Description:

Can detect relatively weak spatial genetic patterns by using Moran's Eigenvector Maps (MEM) to extract only the spatial component of genetic variation. Has applications in landscape genetics where the movement and dispersal of organisms are studied using neutral genetic variation.

r-maxlike 0.1-11
Propagated dependencies: r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/m.scm (guix-cran packages m)
Home page: https://cran.r-project.org/package=maxlike
Licenses: GPL 3+
Synopsis: Model Species Distributions by Estimating the Probability of Occurrence Using Presence-Only Data
Description:

This package provides a likelihood-based approach to modeling species distributions using presence-only data. In contrast to the popular software program MAXENT, this approach yields estimates of the probability of occurrence, which is a natural descriptor of a species distribution.

r-nzelect 0.4.0
Channel: guix-cran
Location: guix-cran/packages/n.scm (guix-cran packages n)
Home page: https://cran.r-project.org/package=nzelect
Licenses: GPL 3
Synopsis: New Zealand Election Data
Description:

Convenient access to New Zealand election results by voting place. Voting places have been matched to Regional Council, Territorial Authority, and Area Unit, to facilitate matching with additional data. Opinion polls since 2002 and some convenience analytical function are also supplied.

r-onbrand 1.0.6
Propagated dependencies: r-yaml@2.3.10 r-stringr@1.5.1 r-rlang@1.1.6 r-officer@0.6.8 r-magrittr@2.0.3 r-ggplot2@3.5.2 r-flextable@0.9.7 r-dplyr@1.1.4 r-digest@0.6.37
Channel: guix-cran
Location: guix-cran/packages/o.scm (guix-cran packages o)
Home page: https://onbrand.ubiquity.tools/
Licenses: FreeBSD
Synopsis: Templated Reporting Workflows in Word and PowerPoint
Description:

Automated reporting in Word and PowerPoint can require customization for each organizational template. This package works around this by adding standard reporting functions and an abstraction layer to facilitate automated reporting workflows that can be replicated across different organizational templates.

r-pyramid 1.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://minato.sip21c.org/swtips/Rgraphics.html#PYRAMID
Licenses: GPL 2+
Synopsis: Draw Population Pyramid
Description:

Drawing population pyramid using (1) data.frame or (2) vectors. The former is named as pyramid() and the latter pyramids(), as wrapper function of pyramid(). pyramidf() is the function to draw population pyramid within the specified frame.

r-pursuit 1.0.9
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Pursuit
Licenses: GPL 3
Synopsis: Projection Pursuit
Description:

Projection pursuit (PP) with 17 methods and grand tour with 3 methods. Being that projection pursuit searches for low-dimensional linear projections in high-dimensional data structures, while grand tour is a technique used to explore multivariate statistical data through animation.

r-publish 2023.01.17
Propagated dependencies: r-survival@3.8-3 r-prodlim@2025.04.28 r-multcomp@1.4-28 r-lava@1.8.1 r-data-table@1.17.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Publish
Licenses: GPL 2+
Synopsis: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description:

This package provides a bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.

r-survsim 1.1.8
Propagated dependencies: r-statmod@1.5.0 r-eha@2.11.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=survsim
Licenses: GPL 2+
Synopsis: Simulation of Simple and Complex Survival Data
Description:

Simulation of simple and complex survival data including recurrent and multiple events and competing risks. See Moriña D, Navarro A. (2014) <doi:10.18637/jss.v059.i02> and Moriña D, Navarro A. (2017) <doi:10.1080/03610918.2016.1175621>.

r-scornet 0.1.1
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@14.4.2-1 r-rcpp@1.0.14 r-pracma@2.4.4 r-matrix@1.7-3 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/celehs/SCORNET
Licenses: GPL 3
Synopsis: Semi-Supervised Calibration of Risk with Noisy Event Times
Description:

This package provides a consistent, semi-supervised, non-parametric survival curve estimator optimized for efficient use of Electronic Health Record (EHR) data with a limited number of current status labels. See van der Laan and Robins (1997) <doi:10.2307/2670119>.

r-surelda 0.1.0-1
Propagated dependencies: r-rcpparmadillo@14.4.2-1 r-rcpp@1.0.14 r-proc@1.18.5 r-matrix@1.7-3 r-map@1.0.0 r-glmnet@4.1-8 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/celehs/sureLDA
Licenses: GPL 3
Synopsis: Novel Multi-Disease Automated Phenotyping Method for the EHR
Description:

This package provides a statistical learning method to simultaneously predict a range of target phenotypes using codified and natural language processing (NLP)-derived Electronic Health Record (EHR) data. See Ahuja et al (2020) JAMIA <doi:10.1093/jamia/ocaa079> for details.

r-srcpkgs 0.1
Propagated dependencies: r-pkgload@1.4.0 r-devtools@2.4.5 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/kforner/srcpkgs
Licenses: GPL 3+
Synopsis: R Source Packages Manager
Description:

Manage a collection/library of R source packages. Discover, document, load, test source packages. Enable to use those packages as if they were actually installed. Quickly reload only what is needed on source code change. Run tests and checks in parallel.

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