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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-aldvmm 0.9.0
Propagated dependencies: r-sandwich@3.1-1 r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-lmtest@0.9-40 r-formula@1.2-5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/pletschm/aldvmm/
Licenses: GPL 3
Build system: r
Synopsis: Adjusted Limited Dependent Variable Mixture Models
Description:

The goal of the package aldvmm is to fit adjusted limited dependent variable mixture models of health state utilities. Adjusted limited dependent variable mixture models are finite mixtures of normal distributions with an accumulation of density mass at the limits, and a gap between 100% quality of life and the next smaller utility value. The package aldvmm uses the likelihood and expected value functions proposed by Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using normal component distributions and a multinomial logit model of probabilities of component membership.

r-autohrf 1.1.3
Propagated dependencies: r-rcolorbrewer@1.1-3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-gtools@3.9.5 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/demsarjure/autohrf
Licenses: GPL 3+
Build system: r
Synopsis: Automated Generation of Data-Informed GLM Models in Task-Based fMRI Data Analysis
Description:

Analysis of task-related functional magnetic resonance imaging (fMRI) activity at the level of individual participants is commonly based on general linear modelling (GLM) that allows us to estimate to what extent the blood oxygenation level dependent (BOLD) signal can be explained by task response predictors specified in the GLM model. The predictors are constructed by convolving the hypothesised timecourse of neural activity with an assumed hemodynamic response function (HRF). To get valid and precise estimates of task response, it is important to construct a model of neural activity that best matches actual neuronal activity. The construction of models is most often driven by predefined assumptions on the components of brain activity and their duration based on the task design and specific aims of the study. However, our assumptions about the onset and duration of component processes might be wrong and can also differ across brain regions. This can result in inappropriate or suboptimal models, bad fitting of the model to the actual data and invalid estimations of brain activity. Here we present an approach in which theoretically driven models of task response are used to define constraints based on which the final model is derived computationally using the actual data. Specifically, we developed autohrf â a package for the R programming language that allows for data-driven estimation of HRF models. The package uses genetic algorithms to efficiently search for models that fit the underlying data well. The package uses automated parameter search to find the onset and duration of task predictors which result in the highest fitness of the resulting GLM based on the fMRI signal under predefined restrictions. We evaluate the usefulness of the autohrf package on publicly available datasets of task-related fMRI activity. Our results suggest that by using autohrf users can find better task related brain activity models in a quick and efficient manner.

r-adaptmcmc 1.5
Propagated dependencies: r-ramcmc@0.1.2 r-matrix@1.7-4 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/scheidan/adaptMCMC
Licenses: GPL 2+
Build system: r
Synopsis: Implementation of a Generic Adaptive Monte Carlo Markov Chain Sampler
Description:

Enables sampling from arbitrary distributions if the log density is known up to a constant; a common situation in the context of Bayesian inference. The implemented sampling algorithm was proposed by Vihola (2012) <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by tuning the proposal distributions to a user defined acceptance rate.

r-aws-alexa 0.1.8
Propagated dependencies: r-xml2@1.5.0 r-httr@1.4.7 r-dplyr@1.1.4 r-aws-signature@0.6.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=aws.alexa
Licenses: Expat
Build system: r
Synopsis: Client for the Amazon Alexa Web Information Services API
Description:

Use the Amazon Alexa Web Information Services API to find information about domains, including the kind of content that they carry, how popular are they---rank and traffic history, sites linking to them, among other things. See <https://aws.amazon.com/awis/> for more information.

r-attachment 0.4.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://thinkr-open.github.io/attachment/
Licenses: GPL 3
Build system: r
Synopsis: Deal with Dependencies
Description:

Manage dependencies during package development. This can retrieve all dependencies that are used in ".R" files in the "R/" directory, in ".Rmd" files in "vignettes/" directory and in roxygen2 documentation of functions. There is a function to update the "DESCRIPTION" file of your package with CRAN packages or any other remote package. All functions to retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used independently of a package development.

r-alone 0.7
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/doehm/alone
Licenses: CC0
Build system: r
Synopsis: Datasets from the Survival TV Series Alone
Description:

This package provides a collection of datasets on the Alone survival TV series in tidy format. Included in the package are 4 datasets detailing the survivors, their loadouts, episode details and season information.

r-arcensreg 3.0.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=ARCensReg
Licenses: GPL 2+
Build system: r
Synopsis: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors
Description:

It fits a univariate left, right, or interval censored linear regression model with autoregressive errors, considering the normal or the Student-t distribution for the innovations. It provides estimates and standard errors of the parameters, predicts future observations, and supports missing values on the dependent variable. References used for this package: Schumacher, F. L., Lachos, V. H., & Dey, D. K. (2017). Censored regression models with autoregressive errors: A likelihood-based perspective. Canadian Journal of Statistics, 45(4), 375-392 <doi:10.1002/cjs.11338>. Schumacher, F. L., Lachos, V. H., Vilca-Labra, F. E., & Castro, L. M. (2018). Influence diagnostics for censored regression models with autoregressive errors. Australian & New Zealand Journal of Statistics, 60(2), 209-229 <doi:10.1111/anzs.12229>. Valeriano, K. A., Schumacher, F. L., Galarza, C. E., & Matos, L. A. (2024). Censored autoregressive regression models with Studentâ t innovations. Canadian Journal of Statistics, 52(3), 804-828 <doi:10.1002/cjs.11804>.

r-ag5tools 0.0.2
Propagated dependencies: r-terra@1.8-86 r-reticulate@1.44.1 r-fs@1.6.6 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://agrdatasci.github.io/ag5Tools/
Licenses: Expat
Build system: r
Synopsis: Toolbox for Downloading and Extracting Copernicus AgERA5 Data
Description:

This package provides tools for downloading and extracting data from the Copernicus "Agrometeorological indicators from 1979 to present derived from reanalysis" <https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-agrometeorological-indicators?tab=overview> (AgERA5).

r-aoos 0.5.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://wahani.github.io/aoos
Licenses: Expat
Build system: r
Synopsis: Another Object Orientation System
Description:

Another implementation of object-orientation in R. It provides syntactic sugar for the S4 class system and two alternative new implementations. One is an experimental version built around S4 and the other one makes it more convenient to work with lists as objects.

r-algebraic-dist 0.9.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/queelius/algebraic.dist
Licenses: GPL 3+
Build system: r
Synopsis: Algebra over Probability Distributions
Description:

This package provides an algebra over probability distributions enabling composition, sampling, and automatic simplification to closed forms. Supports normal, exponential, gamma, Weibull, chi-squared, uniform, beta, log-normal, Poisson, multivariate normal, empirical, and mixture distributions with algebraic operators (addition, subtraction, multiplication, division, power, exp, log, min, max) that automatically simplify when mathematical identities apply. Includes closed-form MVN conditioning (Schur complement), affine transformations, mixture marginals/conditionals (Bayes rule), and limiting distribution builders (CLT, LLN, delta method). Uses S3 classes for distributions and R6 for support objects.

r-alphaoutlier 1.2.0
Propagated dependencies: r-rsolnp@2.0.1 r-quantreg@6.1 r-nleqslv@3.3.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=alphaOutlier
Licenses: GPL 3
Build system: r
Synopsis: Obtain Alpha-Outlier Regions for Well-Known Probability Distributions
Description:

Given the parameters of a distribution, the package uses the concept of alpha-outliers by Davies and Gather (1993) to flag outliers in a data set. See Davies, L.; Gather, U. (1993): The identification of multiple outliers, JASA, 88 423, 782-792, <doi:10.1080/01621459.1993.10476339> for details.

r-agfh 0.2.1
Propagated dependencies: r-mvtnorm@1.3-3 r-ks@1.15.1 r-goftest@1.2-3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=agfh
Licenses: GPL 3+
Build system: r
Synopsis: Agnostic Fay-Herriot Model for Small Area Statistics
Description:

This package implements the Agnostic Fay-Herriot model, an extension of the traditional small area model. In place of normal sampling errors, the sampling error distribution is estimated with a Gaussian process to accommodate a broader class of distributions. This flexibility is most useful in the presence of bounded, multi-modal, or heavily skewed sampling errors.

r-amoudsurv 0.1.0
Propagated dependencies: r-pracma@2.4.6 r-flexsurv@2.3.2 r-ahsurv@0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AmoudSurv
Licenses: GPL 3
Build system: r
Synopsis: Tractable Parametric Odds-Based Regression Models
Description:

Fits tractable fully parametric odds-based regression models for survival data, including proportional odds (PO), accelerated failure time (AFT), accelerated odds (AO), and General Odds (GO) models in overall survival frameworks. Given at least an R function specifying the survivor, hazard rate and cumulative distribution functions, any user-defined parametric distribution can be fitted. We applied and evaluated a minimum of seventeen (17) various baseline distributions that can handle different failure rate shapes for each of the four different proposed odds-based regression models. For more information see Bennet et al., (1983) <doi:10.1002/sim.4780020223>, and Muse et al., (2022) <doi:10.1016/j.aej.2022.01.033>.

r-actlifer 1.0.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=actLifer
Licenses: Expat
Build system: r
Synopsis: Creating Actuarial Life Tables
Description:

This package contains data and functions that can be used to make actuarial life tables. Each function adds a column to the inputted dataset for each intermediate calculation between mortality rate and life expectancy. Users can run any of our functions to complete the life table until that step, or run lifetable() to output a full life table that can be customized to remove optional columns. Methods for creating lifetables are as described in Zedstatistics (2021) <https://www.youtube.com/watch?v=Dfe59glNXAQ>.

r-authoritative 0.2.0
Propagated dependencies: r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/Bisaloo/authoritative
Licenses: Expat
Build system: r
Synopsis: Parse and Deduplicate Author Names
Description:

Utilities to parse authors fields from DESCRIPTION files and general purpose functions to deduplicate names in database, beyond the specific case of R package authors.

r-aglm 0.4.1
Propagated dependencies: r-mathjaxr@1.8-0 r-glmnet@4.1-10 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/kkondo1981/aglm
Licenses: GPL 2
Build system: r
Synopsis: Accurate Generalized Linear Model
Description:

This package provides functions to fit Accurate Generalized Linear Model (AGLM) models, visualize them, and predict for new data. AGLM is defined as a regularized GLM which applies a sort of feature transformations using a discretization of numerical features and specific coding methodologies of dummy variables. For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo and Hirokazu Iwasawa (2020) <https://www.institutdesactuaires.com/global/gene/link.php?doc_id=16273&fg=1>.

r-adjustedcurves 0.11.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/RobinDenz1/adjustedCurves
Licenses: GPL 3+
Build system: r
Synopsis: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions
Description:

Estimate and plot confounder-adjusted survival curves using either Direct Adjustment', Direct Adjustment with Pseudo-Values', various forms of Inverse Probability of Treatment Weighting', two forms of Augmented Inverse Probability of Treatment Weighting', Empirical Likelihood Estimation or Targeted Maximum Likelihood Estimation'. Also includes a significance test for the difference between two adjusted survival curves and the calculation of adjusted restricted mean survival times. Additionally enables the user to estimate and plot cause-specific confounder-adjusted cumulative incidence functions in the competing risks setting using the same methods (with some exceptions). For details, see Denz et. al (2023) <doi:10.1002/sim.9681>.

r-adbcpostgresql 0.22.0
Dependencies: zlib@1.3.1 openssl@3.0.8
Propagated dependencies: r-adbcdrivermanager@0.21.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://arrow.apache.org/adbc/current/r/adbcpostgresql/
Licenses: FSDG-compatible
Build system: r
Synopsis: 'Arrow' Database Connectivity ('ADBC') 'PostgreSQL' Driver
Description:

This package provides a developer-facing interface to the Arrow Database Connectivity ('ADBC') PostgreSQL driver for the purposes of building high-level database interfaces for users. ADBC <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses Arrow for result sets and query parameters.

r-autokeras 1.0.12
Propagated dependencies: r-reticulate@1.44.1 r-keras@2.16.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/r-tensorflow/autokeras
Licenses: Expat
Build system: r
Synopsis: R Interface to 'AutoKeras'
Description:

R Interface to AutoKeras <https://autokeras.com/>. AutoKeras is an open source software library for Automated Machine Learning (AutoML). The ultimate goal of AutoML is to provide easily accessible deep learning tools to domain experts with limited data science or machine learning background. AutoKeras provides functions to automatically search for architecture and hyperparameters of deep learning models.

r-acled-api 1.1.8
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: <https://gitlab.com/chris-dworschak/acled.api>
Licenses: FSDG-compatible
Build system: r
Synopsis: Automated Retrieval of ACLED Conflict Event Data
Description:

Access and manage the application programming interface (API) of the Armed Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>. The package makes it easy to retrieve a user-defined sample (or all of the available data) of ACLED, enabling a seamless integration of regular data updates into the research work flow. It requires a minimal number of dependencies. See the package's README file for a note on replicability when drawing on ACLED data. When using this package, you acknowledge that you have read ACLED's terms and conditions of use, and that you agree with their attribution requirements.

r-allelematch 2.5.5
Propagated dependencies: r-dynamictreecut@1.63-1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: <doi:10.1111%2Fj.1755-0998.2012.03137.x>
Licenses: GPL 2+
Build system: r
Synopsis: Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present
Description:

This package provides tools for the identification of unique of multilocus genotypes when both genotyping error and missing data may be present; targeted for use with large datasets and databases containing multiple samples of each individual (a common situation in conservation genetics, particularly in non-invasive wildlife sampling applications). Functions explicitly incorporate missing data and can tolerate allele mismatches created by genotyping error. If you use this package, please cite the original publication in Molecular Ecology Resources (Galpern et al., 2012), the details for which can be generated using citation('allelematch'). For a complete vignette, please access via the Data S1 Supplementary documentation and tutorials (PDF) located at <doi:10.1111/j.1755-0998.2012.03137.x>.

r-ameshousing 0.0.4
Propagated dependencies: r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/topepo/AmesHousing
Licenses: GPL 2
Build system: r
Synopsis: The Ames Iowa Housing Data
Description:

Raw and processed versions of the data from De Cock (2011) <http://ww2.amstat.org/publications/jse> are included in the package.

r-adehabitatma 0.3.17
Propagated dependencies: r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=adehabitatMA
Licenses: GPL 2+
Build system: r
Synopsis: Tools to Deal with Raster Maps
Description:

This package provides a collection of tools to deal with raster maps.

r-atsa 3.1.2.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=aTSA
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Alternative Time Series Analysis
Description:

This package contains some tools for testing, analyzing time series data and fitting popular time series models such as ARIMA, Moving Average and Holt Winters, etc. Most functions also provide nice and clear outputs like SAS does, such as identify, estimate and forecast, which are the same statements in PROC ARIMA in SAS.

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Total results: 69112