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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-detpack 1.1.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=detpack
Licenses: GPL 2
Build system: r
Synopsis: Density Estimation and Random Number Generation with Distribution Element Trees
Description:

Density estimation for possibly large data sets and conditional/unconditional random number generation or bootstrapping with distribution element trees. The function det.construct translates a dataset into a distribution element tree. To evaluate the probability density based on a previously computed tree at arbitrary query points, the function det.query is available. The functions det1 and det2 provide density estimation and plotting for one- and two-dimensional datasets. Conditional/unconditional smooth bootstrapping from an available distribution element tree can be performed by det.rnd'. For more details on distribution element trees, see: Meyer, D.W. (2016) <arXiv:1610.00345> or Meyer, D.W., Statistics and Computing (2017) <doi:10.1007/s11222-017-9751-9> and Meyer, D.W. (2017) <arXiv:1711.04632> or Meyer, D.W., Journal of Computational and Graphical Statistics (2018) <doi:10.1080/10618600.2018.1482768>.

r-ddd 5.2.4
Propagated dependencies: r-subplex@1.9 r-sparsem@1.84-2 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-phytools@2.5-2 r-matrix@1.7-4 r-expm@1.0-0 r-desolve@1.40 r-deoptim@2.2-8 r-bh@1.87.0-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://rsetienne.github.io/DDD/
Licenses: GPL 3
Build system: r
Synopsis: Diversity-Dependent Diversification
Description:

This package implements maximum likelihood and bootstrap methods based on the diversity-dependent birth-death process to test whether speciation or extinction are diversity-dependent, under various models including various types of key innovations. See Etienne et al. 2012, Proc. Roy. Soc. B 279: 1300-1309, <DOI:10.1098/rspb.2011.1439>, Etienne & Haegeman 2012, Am. Nat. 180: E75-E89, <DOI:10.1086/667574>, Etienne et al. 2016. Meth. Ecol. Evol. 7: 1092-1099, <DOI:10.1111/2041-210X.12565> and Laudanno et al. 2021. Syst. Biol. 70: 389â 407, <DOI:10.1093/sysbio/syaa048>. Also contains functions to simulate the diversity-dependent process.

r-dire 2.2.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-mass@7.3-65 r-lbfgs@1.2.1.2 r-iterators@1.0.14 r-haven@2.5.5 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://american-institutes-for-research.github.io/Dire/
Licenses: GPL 2
Build system: r
Synopsis: Linear Regressions with a Latent Outcome Variable
Description:

Fit latent variable linear models, estimating score distributions for groups of people, following Cohen and Jiang (1999) <doi:10.2307/2669917>. In this model, a latent distribution is conditional on students item response, item characteristics, and conditioning variables the user includes. This latent trait is then integrated out. This software is intended to fit the same models as the existing software AM <https://am.air.org/>. As of version 2, also allows the user to draw plausible values.

r-dtrreg 2.3
Propagated dependencies: r-r6@2.6.1 r-nnet@7.3-20
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DTRreg
Licenses: GPL 2
Build system: r
Synopsis: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
Description:

Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables. Wallace et al. (2017) <DOI:10.18637/jss.v080.i02>; Simoneau et al. (2020) <DOI:10.1080/00949655.2020.1793341>.

r-distill 1.6
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-xfun@0.54 r-whisker@0.4.1 r-stringr@1.6.0 r-rstudioapi@0.17.1 r-rprojroot@2.1.1 r-rmarkdown@2.30 r-png@0.1-8 r-openssl@2.3.4 r-mime@0.13 r-lubridate@1.9.4 r-knitr@1.50 r-jsonlite@2.0.0 r-htmltools@0.5.8.1 r-downlit@0.4.5 r-digest@0.6.39 r-bookdown@0.45 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/rstudio/distill
Licenses: ASL 2.0
Build system: r
Synopsis: 'R Markdown' Format for Scientific and Technical Writing
Description:

Scientific and technical article format for the web. Distill articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.

r-disimpact 0.0.21
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-sets@1.0-25 r-rlang@1.1.6 r-purrr@1.2.0 r-glue@1.8.0 r-fst@0.9.8 r-duckdb@1.4.2 r-dplyr@1.1.4 r-dbi@1.2.3 r-data-table@1.17.8 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/vinhdizzo/DisImpact
Licenses: GPL 3
Build system: r
Synopsis: Calculates Disproportionate Impact When Binary Success Data are Disaggregated by Subgroups
Description:

This package implements methods for calculating disproportionate impact: the percentage point gap, proportionality index, and the 80% index. California Community Colleges Chancellor's Office (2017). Percentage Point Gap Method. <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>. California Community Colleges Chancellor's Office (2014). Guidelines for Measuring Disproportionate Impact in Equity Plans. <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.

r-drake 7.13.11
Propagated dependencies: r-vctrs@0.6.5 r-txtq@0.2.4 r-tidyselect@1.2.1 r-storr@1.2.6 r-rlang@1.1.6 r-igraph@2.2.1 r-digest@0.6.39 r-base64url@1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ropensci/drake
Licenses: GPL 3
Build system: r
Synopsis: Pipeline Toolkit for Reproducible Computation at Scale
Description:

This package provides a general-purpose computational engine for data analysis, drake rebuilds intermediate data objects when their dependencies change, and it skips work when the results are already up to date. Not every execution starts from scratch, there is native support for parallel and distributed computing, and completed projects have tangible evidence that they are reproducible. Extensive documentation, from beginner-friendly tutorials to practical examples and more, is available at the reference website <https://docs.ropensci.org/drake/> and the online manual <https://books.ropensci.org/drake/>.

r-dregar 0.1.4.0
Propagated dependencies: r-msgps@1.3.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DREGAR
Licenses: GPL 2+
Build system: r
Synopsis: Regularized Estimation of Dynamic Linear Regression in the Presence of Autocorrelated Residuals (DREGAR)
Description:

This package provides a penalized/non-penalized implementation for dynamic regression in the presence of autocorrelated residuals (DREGAR) using iterative penalized/ordinary least squares. It applies Mallows CP, AIC, BIC and GCV to select the tuning parameters.

r-dawai 1.2.8
Propagated dependencies: r-mvtnorm@1.3-3 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dawai
Licenses: GPL 2+
Build system: r
Synopsis: Discriminant Analysis with Additional Information
Description:

In applications it is usual that some additional information is available. This package dawai (an acronym for Discriminant Analysis With Additional Information) performs linear and quadratic discriminant analysis with additional information expressed as inequality restrictions among the populations means. It also computes several estimations of the true error rate.

r-drglm 1.1
Propagated dependencies: r-speedglm@0.3-5 r-nnet@7.3-20
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://nayemmh.github.io/drglm/
Licenses: GPL 3+
Build system: r
Synopsis: Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets
Description:

To overcome the memory limitations for fitting linear (LM) and Generalized Linear Models (GLMs) to large data sets, this package implements the Divide and Recombine (D&R) strategy. It basically divides the entire large data set into suitable subsets manageable in size and then fits model to each subset. Finally, results from each subset are aggregated to obtain the final estimate. This package also supports fitting GLMs to data sets that cannot fit into memory and provides methods for fitting GLMs under linear regression, binomial regression, Poisson regression, and multinomial logistic regression settings. Respective models are fitted using different D&R strategies as described by: Xi, Lin, and Chen (2009) <doi:10.1109/TKDE.2008.186>, Xi, Lin and Chen (2006) <doi:10.1109/TKDE.2006.196>, Zuo and Li (2018) <doi:10.4236/ojs.2018.81003>, Karim, M.R., Islam, M.A. (2019) <doi:10.1007/978-981-13-9776-9>.

r-datasum 0.1.1
Propagated dependencies: r-nortest@1.0-4 r-moments@0.14.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/Uzairkhan11w/DataSum
Licenses: GPL 3
Build system: r
Synopsis: Comprehensive Data Summarization for Statistical Analysis
Description:

Summarizes data frames by calculating various statistics including central tendency, dispersion, shape, and normality diagnostics. Handles numeric, character, and factor columns with NA-aware computations.

r-discretefit 0.1.3
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/josh-mc/discretefit
Licenses: Expat
Build system: r
Synopsis: Simulated Goodness-of-Fit Tests for Discrete Distributions
Description:

This package implements fast Monte Carlo simulations for goodness-of-fit (GOF) tests for discrete distributions. This includes tests based on the Chi-squared statistic, the log-likelihood-ratio (G^2) statistic, the Freeman-Tukey (Hellinger-distance) statistic, the Kolmogorov-Smirnov statistic, the Cramer-von Mises statistic as described in Choulakian, Lockhart and Stephens (1994) <doi:10.2307/3315828>, and the root-mean-square statistic, see Perkins, Tygert, and Ward (2011) <doi:10.1016/j.amc.2011.03.124>.

r-dyncorr 1.1.0
Propagated dependencies: r-lpridge@1.1-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dynCorr
Licenses: GPL 2
Build system: r
Synopsis: Dynamic Correlation Package
Description:

Computes dynamical correlation estimates and percentile bootstrap confidence intervals for pairs of longitudinal responses, including consideration of lags and derivatives.

r-dipm 1.12
Propagated dependencies: r-survival@3.8-3 r-rlang@1.1.6 r-partykit@1.2-24 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dipm
Licenses: GPL 2+
Build system: r
Synopsis: Depth Importance in Precision Medicine (DIPM) Method
Description:

An implementation by Chen, Li, and Zhang (2022) <doi: 10.1093/bioadv/vbac041> of the Depth Importance in Precision Medicine (DIPM) method in Chen and Zhang (2022) <doi:10.1093/biostatistics/kxaa021> and Chen and Zhang (2020) <doi:10.1007/978-3-030-46161-4_16>. The DIPM method is a classification tree that searches for subgroups with especially poor or strong performance in a given treatment group.

r-decisionsupport 1.115
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rriskdistributions@2.1.2 r-patchwork@1.3.2 r-nleqslv@3.3.5 r-mvtnorm@1.3-3 r-msm@1.8.2 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-fancova@0.6-1 r-dplyr@1.1.4 r-class@7.3-23 r-chillr@0.77 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://www.worldagroforestry.org/
Licenses: GPL 3
Build system: r
Synopsis: Quantitative Support of Decision Making under Uncertainty
Description:

Supporting the quantitative analysis of binary welfare based decision making processes using Monte Carlo simulations. Decision support is given on two levels: (i) The actual decision level is to choose between two alternatives under probabilistic uncertainty. This package calculates the optimal decision based on maximizing expected welfare. (ii) The meta decision level is to allocate resources to reduce the uncertainty in the underlying decision problem, i.e to increase the current information to improve the actual decision making process. This problem is dealt with using the Value of Information Analysis. The Expected Value of Information for arbitrary prospective estimates can be calculated as well as Individual Expected Value of Perfect Information. The probabilistic calculations are done via Monte Carlo simulations. This Monte Carlo functionality can be used on its own.

r-dive 1.3
Propagated dependencies: r-sp@2.2-0 r-fme@1.3.6.4 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DivE
Licenses: GPL 2+
Build system: r
Synopsis: Diversity Estimator
Description:

This package contains functions for the DivE estimator <doi:10.1371/journal.pcbi.1003646>. The DivE estimator is a heuristic approach to estimate the number of classes or the number of species (species richness) in a population.

r-dynaspec 1.0.5
Dependencies: ffmpeg@8.0
Propagated dependencies: r-warbler@1.1.37 r-viridis@0.6.5 r-tuner@1.4.7 r-seewave@2.2.4 r-scales@1.4.0 r-png@0.1-8 r-ggplot2@4.0.1 r-gganimate@1.0.11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/maRce10/dynaSpec
Licenses: GPL 2+
Build system: r
Synopsis: Dynamic Spectrogram Visualizations
Description:

This package provides a set of tools to generate dynamic spectrogram visualizations in video format.

r-dfrr 0.1.5
Propagated dependencies: r-tmvtnorm@1.7 r-plotly@4.11.0 r-mass@7.3-65 r-ggplot2@4.0.1 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/asgari-fatemeh/dfrr
Licenses: GPL 3
Build system: r
Synopsis: Dichotomized Functional Response Regression
Description:

Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.

r-drviaspcn 0.1.5
Propagated dependencies: r-pheatmap@1.0.13 r-igraph@2.2.1 r-gsva@2.4.1 r-clusterprofiler@4.18.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DRviaSPCN
Licenses: GPL 2+
Build system: r
Synopsis: Drug Repurposing in Cancer via a Subpathway Crosstalk Network
Description:

This package provides a systematic biology tool was developed to repurpose drugs via a subpathway crosstalk network. The operation modes include 1) calculating centrality scores of SPs in the context of gene expression data to reflect the influence of SP crosstalk, 2) evaluating drug-disease reverse association based on disease- and drug-induced SPs weighted by the SP crosstalk, 3) identifying cancer candidate drugs through perturbation analysis. There are also several functions used to visualize the results.

r-dcov 0.1.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 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=dcov
Licenses: GPL 2
Build system: r
Synopsis: Fast Implementation of Distance Covariance
Description:

Efficient methods for computing distance covariance and relevant statistics. See Székely et al.(2007) <doi:10.1214/009053607000000505>; Székely and Rizzo (2013) <doi:10.1016/j.jmva.2013.02.012>; Székely and Rizzo (2014) <doi:10.1214/14-AOS1255>; Huo and Székely (2016) <doi:10.1080/00401706.2015.1054435>.

r-dots 0.0.3
Propagated dependencies: r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-rmapshaper@0.5.0 r-rlang@1.1.6 r-purrr@1.2.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/christopherkenny/dots
Licenses: Expat
Build system: r
Synopsis: Dot Density Maps
Description:

Generate point data for representing people within spatial data. This collects a suite of tools for creating simple dot density maps. Several functions from different spatial packages are standardized to take the same arguments so that they can be easily substituted for each other.

r-digittests 0.1.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://koenderks.github.io/digitTests/
Licenses: GPL 3+
Build system: r
Synopsis: Tests for Detecting Irregular Digit Patterns
Description:

This package provides statistical tests and support functions for detecting irregular digit patterns in numerical data. The package includes tools for extracting digits at various locations in a number, tests for repeated values, and (Bayesian) tests of digit distributions.

r-discretedatasets 0.2.0
Propagated dependencies: r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/DISOhda/DiscreteDatasets
Licenses: GPL 3
Build system: r
Synopsis: Example Data Sets for Use with Discrete Statistical Tests
Description:

This package provides several data sets for use with discrete statistical tests and discrete multiple testing procedures.

r-diffcor 0.8.4
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=diffcor
Licenses: GPL 2+
Build system: r
Synopsis: Fisher's z-Tests Concerning Differences Between Correlations
Description:

Computations of Fisher's z-tests concerning different kinds of correlation differences. The diffpwr family entails approaches to estimating statistical power via Monte Carlo simulations. Important to note, the Pearson correlation coefficient is sensitive to linear association, but also to a host of statistical issues such as univariate and bivariate outliers, range restrictions, and heteroscedasticity (e.g., Duncan & Layard, 1973 <doi:10.1093/BIOMET/60.3.551>; Wilcox, 2013 <doi:10.1016/C2010-0-67044-1>). Thus, every power analysis requires that specific statistical prerequisites are fulfilled and can be invalid if the prerequisites do not hold. To this end, the bootcor family provides bootstrapping confidence intervals for the incorporated correlation difference tests.

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