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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-dmcfun 4.0.1
Propagated dependencies: r-tidyr@1.3.1 r-rcpp@1.1.0 r-pbapply@1.7-4 r-dplyr@1.1.4 r-deoptim@2.2-8 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/igmmgi/DMCfun
Licenses: Expat
Build system: r
Synopsis: Diffusion Model of Conflict (DMC) in Reaction Time Tasks
Description:

DMC model simulation detailed in Ulrich, R., Schroeter, H., Leuthold, H., & Birngruber, T. (2015). Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions. Cognitive Psychology, 78, 148-174. Ulrich et al. (2015) <doi:10.1016/j.cogpsych.2015.02.005>. Decision processes within choice reaction-time (CRT) tasks are often modelled using evidence accumulation models (EAMs), a variation of which is the Diffusion Decision Model (DDM, for a review, see Ratcliff & McKoon, 2008). Ulrich et al. (2015) introduced a Diffusion Model for Conflict tasks (DMC). The DMC model combines common features from within standard diffusion models with the addition of superimposed controlled and automatic activation. The DMC model is used to explain distributional reaction time (and error rate) patterns in common behavioural conflict-like tasks (e.g., Flanker task, Simon task). This R-package implements the DMC model and provides functionality to fit the model to observed data. Further details are provided in the following paper: Mackenzie, I.G., & Dudschig, C. (2021). DMCfun: An R package for fitting Diffusion Model of Conflict (DMC) to reaction time and error rate data. Methods in Psychology, 100074. <doi:10.1016/j.metip.2021.100074>.

r-decorrelate 0.1.6.4
Propagated dependencies: r-rfast@2.1.5.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-irlba@2.3.5.1 r-cholwishart@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://gabrielhoffman.github.io/decorrelate/
Licenses: Artistic License 2.0
Build system: r
Synopsis: Decorrelation Projection Scalable to High Dimensional Data
Description:

Data whitening is a widely used preprocessing step to remove correlation structure since statistical models often assume independence. Here we use a probabilistic model of the observed data to apply a whitening transformation. This Gaussian Inverse Wishart Empirical Bayes model substantially reduces computational complexity, and regularizes the eigen-values of the sample covariance matrix to improve out-of-sample performance.

r-divest 1.2.0
Propagated dependencies: r-rnifti@1.8.0 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jonclayden/divest
Licenses: FSDG-compatible
Build system: r
Synopsis: Get Images Out of DICOM Format Quickly
Description:

This package provides tools to sort DICOM-format medical image files, and convert them to NIfTI-1 format.

r-deflatebr 1.1.2
Propagated dependencies: r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/meirelesff/deflatebr/
Licenses: Expat
Build system: r
Synopsis: Deflate Nominal Brazilian Reais
Description:

Simple functions to deflate nominal Brazilian Reais using several popular price indexes downloaded from the Brazilian Institute for Applied Economic Research.

r-dashboardthemes 1.1.6
Propagated dependencies: r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/nik01010/dashboardthemes
Licenses: Expat
Build system: r
Synopsis: Customise the Appearance of 'shinydashboard' Applications using Themes
Description:

Allows manual creation of themes and logos to be used in applications created using the shinydashboard package. Removes the need to change the underlying css code by wrapping it into a set of convenient R functions.

r-dimodelsmulti 1.2.1
Propagated dependencies: r-shiny@1.11.1 r-reshape2@1.4.5 r-plyr@1.8.9 r-nlme@3.1-168 r-matrix@1.7-4 r-knitr@1.50 r-dplyr@1.1.4 r-dimodels@1.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://dimodels.com
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Fit Multivariate Diversity-Interactions Models with Repeated Measures
Description:

An add-on package to DImodels for the fitting of biodiversity and ecosystem function relationship study data with multiple ecosystem function responses and/or time points. This package uses the multivariate and repeated measures Diversity-Interactions (DI) methods developed by Kirwan et al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013) <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015) <doi:10.1111/ele.12504>.

r-datetoiso 1.2.1
Propagated dependencies: r-stringr@1.6.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-glue@1.8.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/andzoluk
Licenses: Expat
Build system: r
Synopsis: Convert and Impute Dates to ISO 8601 Format and Reconcile Data Sets
Description:

This package provides tools for converting and imputing date values to the ISO 8601 standard format and for reconciling differences between two versions of a data set. The package automatically detects date patterns within data frame columns and converts them to consistent ISO-formatted dates, with optional imputation of missing day or month components based on user-defined rules. It also includes functionality to identify inserted, deleted, and updated records, as well as column- and value-level changes, when comparing old and new versions of a data frame. Only one date format may be applied within a single column.

r-drpt 1.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-rdpack@2.6.4 r-rcpp@1.1.0 r-future-apply@1.20.0 r-future@1.68.0 r-biasedurn@2.0.12
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRPT
Licenses: Expat
Build system: r
Synopsis: Density Ratio Permutation Test
Description:

Implementation of the Density Ratio Permutation Test for testing the goodness-of-fit of a hypothesised ratio of two densities, as described in Bordino and Berrett (2025) <doi:10.48550/arXiv.2505.24529>.

r-dtrkernsmooth 1.1.0
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DTRKernSmooth
Licenses: GPL 2+
Build system: r
Synopsis: Estimate and Make Inference About Optimal Treatment Regimes via Smoothed Methods
Description:

This package provides methods to estimate the optimal treatment regime among all linear regimes via smoothed estimation methods, and construct element-wise confidence intervals for the optimal linear treatment regime vector, as well as the confidence interval for the optimal value via wild bootstrap procedures, if the population follows treatments recommended by the optimal linear regime. See more details in: Wu, Y. and Wang, L. (2021), "Resampling-based Confidence Intervals for Model-free Robust Inference on Optimal Treatment Regimes", Biometrics, 77: 465รข 476, <doi:10.1111/biom.13337>.

r-ddc 1.0.1
Propagated dependencies: r-magrittr@2.0.4 r-dtwclust@6.0.0 r-dtw@1.23-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=ddc
Licenses: GPL 2+
Build system: r
Synopsis: Distance Density Clustering Algorithm
Description:

This package provides a distance density clustering (DDC) algorithm in R. DDC uses dynamic time warping (DTW) to compute a similarity matrix, based on which cluster centers and cluster assignments are found. DDC inherits dynamic time warping (DTW) arguments and constraints. The cluster centers are centroid points that are calculated using the DTW Barycenter Averaging (DBA) algorithm. The clustering process is divisive. At each iteration, cluster centers are updated and data is reassigned to cluster centers. Early stopping is possible. The output includes cluster centers and clustering assignment, as described in the paper (Ma et al (2017) <doi:10.1109/ICDMW.2017.11>).

r-dpseg 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://gitlab.com/raim/dpseg/
Licenses: GPL 2+
Build system: r
Synopsis: Piecewise Linear Segmentation by Dynamic Programming
Description:

Piecewise linear segmentation of ordered data by a dynamic programming algorithm. The algorithm was developed for time series data, e.g. growth curves, and for genome-wide read-count data from next generation sequencing, but is broadly applicable. Generic implementations of dynamic programming routines allow to scan for optimal segmentation parameters and test custom segmentation criteria ("scoring functions").

r-datetime 0.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datetime
Licenses: GPL 3
Build system: r
Synopsis: Nominal Dates, Times, and Durations
Description:

This package provides methods for working with nominal dates, times, and durations. Base R has sophisticated facilities for handling time, but these can give unexpected results if, for example, timezone is not handled properly. This package provides a more casual approach to support cases which do not require rigorous treatment. It systematically deconstructs the concepts origin and timezone, and de-emphasizes the display of seconds. It also converts among nominal durations such as seconds, hours, days, and weeks. See ?datetime and ?duration for examples. Adapted from metrumrg <http://r-forge.r-project.org/R/?group_id=1215>.

r-disimformixed 0.2
Propagated dependencies: r-dplyr@1.1.4 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DisimForMixed
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Description:

Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.

r-dgp4lcf 1.0.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pheatmap@1.0.13 r-mvtnorm@1.3-3 r-gpfda@3.1.3 r-factor-switching@1.4 r-corrplot@0.95 r-combinat@0.0-8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DGP4LCF
Licenses: Expat
Build system: r
Synopsis: Dependent Gaussian Processes for Longitudinal Correlated Factors
Description:

Functionalities for analyzing high-dimensional and longitudinal biomarker data to facilitate precision medicine, using a joint model of Bayesian sparse factor analysis and dependent Gaussian processes. This paper illustrates the method in detail: J Cai, RJB Goudie, C Starr, BDM Tom (2023) <doi:10.48550/arXiv.2307.02781>.

r-distrellipse 2.8.4
Propagated dependencies: r-startupmsg@1.0.0 r-setrng@2024.2-1 r-mvtnorm@1.3-3 r-distrsim@2.8.5 r-distrex@2.9.6 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://distr.r-forge.r-project.org/
Licenses: LGPL 3
Build system: r
Synopsis: S4 Classes for Elliptically Contoured Distributions
Description:

Distribution (S4-)classes for elliptically contoured distributions (based on package distr').

r-downscale 5.1.4
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-rmpfr@1.1-2 r-minpack-lm@1.2-4 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/charliem2003/downscale
Licenses: GPL 2
Build system: r
Synopsis: Downscaling Species Occupancy
Description:

Uses species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes. Ten models are provided to fit and extrapolate the occupancy-area relationship, as well as methods for preparing atlas data for modelling. See Marsh et. al. (2018) <doi:10.18637/jss.v086.c03>.

r-dll 1.0.0
Propagated dependencies: r-sam@1.2 r-mass@7.3-65 r-locpol@0.9.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/zijguo/HighDim-Additive-Inference
Licenses: GPL 3
Build system: r
Synopsis: Decorrelated Local Linear Estimator
Description:

Implementation of the Decorrelated Local Linear estimator proposed in <arxiv:1907.12732>. It constructs the confidence interval for the derivative of the function of interest under the high-dimensional sparse additive model.

r-dips 0.6.4
Propagated dependencies: r-rlemon@0.2.1 r-plyr@1.8.9 r-mvnfast@0.2.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiPs
Licenses: Expat
Build system: r
Synopsis: Directional Penalties for Optimal Matching in Observational Studies
Description:

Improves the balance of optimal matching with near-fine balance by giving penalties on the unbalanced covariates with the unbalanced directions. Many directional penalties can also be viewed as Lagrange multipliers, pushing a matched sample in the direction of satisfying a linear constraint that would not be satisfied without penalization. Yu and Rosenbaum (2019) <doi:10.1111/biom.13098>.

r-dpqmpfr 0.3-3
Propagated dependencies: r-sfsmisc@1.1-23 r-rmpfr@1.1-2 r-gmp@0.7-5 r-dpq@0.6-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://specfun.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: DPQ (Density, Probability, Quantile) Distribution Computations using MPFR
Description:

An extension to the DPQ package with computations for DPQ (Density (pdf), Probability (cdf) and Quantile) functions, where the functions here partly use the Rmpfr package and hence the underlying MPFR and GMP C libraries.

r-dpcc 1.0.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dpcc
Licenses: Expat
Build system: r
Synopsis: Dynamic Programming for Convex Clustering
Description:

Use dynamic programming method to solve l1 convex clustering with identical weights.

r-do 2.0.0.1
Propagated dependencies: r-xml2@1.5.0 r-usethis@3.2.1 r-tmcn@0.2-13 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rvest@1.0.5 r-rstudioapi@0.17.1 r-reshape2@1.4.5 r-plyr@1.8.9 r-openxlsx@4.2.8.1 r-httr@1.4.7 r-desc@1.4.3 r-data-table@1.17.8 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/yikeshu0611/do
Licenses: GPL 3
Build system: r
Synopsis: Data Operator
Description:

Flexibly convert data between long and wide format using just two functions: reshape_toLong() and reshape_toWide().

r-describedf 0.2.1
Propagated dependencies: r-tseries@0.10-58 r-psych@2.5.6 r-fnonlinear@4052.83 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DescribeDF
Licenses: GPL 3
Build system: r
Synopsis: Description of a Data Frame
Description:

Helps to describe a data frame in hand. Has been developed during PhD work of the maintainer. More information may be obtained from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.

r-doc2concrete 0.6.0
Propagated dependencies: r-tm@0.7-16 r-textstem@0.1.4 r-stringr@1.6.0 r-stringi@1.8.7 r-snowballc@0.7.1 r-quanteda@4.3.1 r-glmnet@4.1-10 r-english@1.2-6
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doc2concrete
Licenses: Expat
Build system: r
Synopsis: Measuring Concreteness in Natural Language
Description:

Models for detecting concreteness in natural language. This package is built in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which reviews linguistic models of concreteness in several domains. Here, we provide an implementation of the best-performing domain-general model (from Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two pre-trained models for the feedback and plan-making domains.

r-didimputation 0.5.0
Propagated dependencies: r-matrix@1.7-4 r-fixest@0.13.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/kylebutts/didimputation
Licenses: Expat
Build system: r
Synopsis: Imputation Estimator from Borusyak, Jaravel, and Spiess (2021)
Description:

Estimates Two-way Fixed Effects difference-in-differences/event-study models using the imputation-based approach proposed by Borusyak, Jaravel, and Spiess (2021).

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Total results: 69112