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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-inlpubs 1.3.0
Dependencies: pandoc@2.19.2 optipng@0.7.7 libxml2@2.14.6
Propagated dependencies: r-tm@0.7-16 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://rconnect.usgs.gov/INLPO/inlpubs-main/
Licenses: CC0
Build system: r
Synopsis: USGS INL Project Office Publications
Description:

This package contains bibliographic information for the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.

r-iclogcondist 1.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iclogcondist
Licenses: GPL 3
Build system: r
Synopsis: Log-Concave Distribution Estimation with Interval-Censored Data
Description:

We consider the non-parametric maximum likelihood estimation of the underlying distribution function, assuming log-concavity, based on mixed-case interval-censored data. The algorithm implemented is base on Chi Wing Chu, Hok Kan Ling and Chaoyu Yuan (2024, <doi:10.48550/arXiv.2411.19878>).

r-iraceplot 2.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://auto-optimization.github.io/iraceplot/
Licenses: Expat
Build system: r
Synopsis: Plots for Visualizing the Data Produced by the 'irace' Package
Description:

Graphical visualization tools for analyzing the data produced by irace'. The iraceplot package enables users to analyze the performance and the parameter space data sampled by the configuration during the search process. It provides a set of functions that generate different plots to visualize the configurations sampled during the execution of irace and their performance. The functions just require the log file generated by irace and, in some cases, they can be used with user-provided data.

r-icsclust 0.1.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/AuroreAA/ICSClust
Licenses: GPL 3+
Build system: r
Synopsis: Tandem Clustering with Invariant Coordinate Selection
Description:

Implementation of tandem clustering with invariant coordinate selection with different scatter matrices and several choices for the selection of components as described in Alfons, A., Archimbaud, A., Nordhausen, K.and Ruiz-Gazen, A. (2024) <doi:10.1016/j.ecosta.2024.03.002>.

r-icods 1.2
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ICODS
Licenses: GPL 2
Build system: r
Synopsis: Data Analysis for ODS and Case-Cohort Designs with Interval-Censoring
Description:

Sieve semiparametric likelihood methods for analyzing interval-censored failure time data from an outcome-dependent sampling (ODS) design and from a case-cohort design. Zhou, Q., Cai, J., and Zhou, H. (2018) <doi:10.1111/biom.12744>; Zhou, Q., Zhou, H., and Cai, J. (2017) <doi:10.1093/biomet/asw067>.

r-inferencesmr 1.0.2
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InferenceSMR
Licenses: GPL 2+
Build system: r
Synopsis: Inference About the Standardized Mortality Ratio when Evaluating the Effect of a Screening Program on Survival
Description:

This package provides functions to make inference about the standardized mortality ratio (SMR) when evaluating the effect of a screening program. The package is based on methods described in Sasieni (2003) <doi: 10.1097/00001648-200301000-00026> and Talbot et al. (2011) <doi: 10.1002/sim.4334>.

r-iprior 0.7.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/haziqj/iprior
Licenses: GPL 3+
Build system: r
Synopsis: Regression Modelling using I-Priors
Description:

This package provides methods to perform and analyse I-prior regression models. Estimation is done either via direct optimisation of the log-likelihood or an EM algorithm.

r-ibmcraftr 1.0.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ibmcraftr
Licenses: Expat
Build system: r
Synopsis: Toolkits to Develop Individual-Based Models in Infectious Disease
Description:

It provides a generic set of tools for initializing a synthetic population with each individual in specific disease states, and making transitions between those disease states according to the rates calculated on each timestep. The new version 1.0.0 has C++ code integration to make the functions run faster. It has also a higher level function to actually run the transitions for the number of timesteps that users specify. Additional functions will follow for changing attributes on demographic, health belief and movement.

r-ineq-2d 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/sklivan/ineq.2d
Licenses: GPL 3+
Build system: r
Synopsis: Two-Dimensional Decomposition of the Theil Index and the Squared Coefficient of Variation
Description:

Decomposition of income inequality by groups formed of individuals possessing similar characteristics (e.g., sex, education, age) and their income sources at the same time. Decomposition of the Theil index is based on Giammatteo, M. (2007) <https://www.lisdatacenter.org/wps/liswps/466.pdf>. Decomposition of the squared coefficient of variation is based on Garcia-Penalosa, C., & Orgiazzi, E. (2013) <doi:10.1111/roiw.12054>.

r-icc 2.4.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/matthewwolak/ICC
Licenses: GPL 2+
Build system: r
Synopsis: Facilitating Estimation of the Intraclass Correlation Coefficient
Description:

Assist in the estimation of the Intraclass Correlation Coefficient (ICC) from variance components of a one-way analysis of variance and also estimate the number of individuals or groups necessary to obtain an ICC estimate with a desired confidence interval width.

r-ironseed 0.3.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/reedacartwright/ironseed
Licenses: Expat
Build system: r
Synopsis: Improved Random Number Generator Seeding
Description:

This package provides a procedure for seeding R's built in random number generators using a variable-length sequence of values. Accumulates input entropy into a 256-bit hash digest or "ironseed" and is able to generate a variable-length sequence of output seeds from an ironseed.

r-invstableprior 0.1.1
Propagated dependencies: r-nimble@1.4.1 r-fdrtool@1.2.18
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InvStablePrior
Licenses: GPL 3+
Build system: r
Synopsis: Inverse Stable Prior for Widely-Used Exponential Models
Description:

This package contains functions that allow Bayesian inference on a parameter of some widely-used exponential models. The functions can generate independent samples from the closed-form posterior distribution using the inverse stable prior. Inverse stable is a non-conjugate prior for a parameter of an exponential subclass of discrete and continuous data distributions (e.g. Poisson, exponential, inverse gamma, double exponential (Laplace), half-normal/half-Gaussian, etc.). The prior class provides flexibility in capturing a wide array of prior beliefs (right-skewed and left-skewed) as modulated by a parameter that is bounded in (0,1). The generated samples can be used to simulate the prior and posterior predictive distributions. More details can be found in Cahoy and Sedransk (2019) <doi:10.1007/s42519-018-0027-2>. The package can also be used as a teaching demo for introductory Bayesian courses.

r-icccompare 1.1.0
Propagated dependencies: r-progressr@0.18.0 r-parallelly@1.45.1 r-nlme@3.1-168 r-mvtnorm@1.3-3 r-mass@7.3-65 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-deriv@4.2.0 r-bbmle@1.0.25.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iccCompare
Licenses: GPL 2+
Build system: r
Synopsis: Comparison of Dependent Intraclass Correlation Coefficients
Description:

This package provides methods for testing the equality of dependent intraclass correlation coefficients (ICCs) estimated using linear mixed-effects models. Several of the implemented approaches are based on the work of Donner and Zou (2002) <doi:10.1111/1467-9884.00324>.

r-intrigue 0.1.0
Propagated dependencies: r-squarem@2021.1 r-rlist@0.4.6.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=INTRIGUE
Licenses: GPL 2
Build system: r
Synopsis: Quantify and Control Reproducibility in High-Throughput Experiments
Description:

Estimate the proportions of the null and the reproducibility and non-reproducibility of the signal group for the input data set. The Bayes factor calculation and EM (Expectation Maximization) algorithm procedures are also included.

r-isocubes 1.0.0
Propagated dependencies: r-colorfast@1.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/coolbutuseless/isocubes
Licenses: Expat
Build system: r
Synopsis: Voxel Data Visualization with Isometric Cubes
Description:

This package provides a voxel is a representation of a value on a regular, three-dimensional grid; it is the 3D equivalent of a 2D pixel. Voxel data can be visualised with this package using fixed viewpoint isometric cubes for each data point. This package also provides sample voxel data and tools for transforming the data.

r-isoorbi 1.5.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://isoorbi.isoverse.org/
Licenses: Expat
Build system: r
Synopsis: Process Orbitrap Isotopocule Data
Description:

Read and process isotopocule data from an Orbitrap Isotope Solutions mass spectrometer. Citation: Kantnerova et al. (Nature Protocols, 2024).

r-ivmodel 1.9.1
Propagated dependencies: r-reshape2@1.4.5 r-matrix@1.7-4 r-ggplot2@4.0.1 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ivmodel
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Statistical Inference and Sensitivity Analysis for Instrumental Variables Model
Description:

Carries out instrumental variable estimation of causal effects, including power analysis, sensitivity analysis, and diagnostics. See Kang, Jiang, Zhao, and Small (2020) <http://pages.cs.wisc.edu/~hyunseung/> for details.

r-imputer 2.2
Propagated dependencies: r-reshape2@1.4.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: http://github.com/SteffenMoritz/imputeR
Licenses: GPL 3
Build system: r
Synopsis: General Multivariate Imputation Framework
Description:

Multivariate Expectation-Maximization (EM) based imputation framework that offers several different algorithms. These include regularisation methods like Lasso and Ridge regression, tree-based models and dimensionality reduction methods like PCA and PLS.

r-icensbkl 1.5
Propagated dependencies: r-teachingdemos@2.13 r-survival@3.8-3 r-smoothsurv@2.6 r-mvtnorm@1.3-3 r-mass@7.3-65 r-icens@1.82.0 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://ibiostat.be/online-resources/icbook/supplemental/
Licenses: GPL 2+
Build system: r
Synopsis: Accompanion to the Book on Interval Censoring by Bogaerts, Komarek, and Lesaffre
Description:

This package contains datasets and several smaller functions suitable for analysis of interval-censored data. The package complements the book Bogaerts, Komárek and Lesaffre (2017, ISBN: 978-1-4200-7747-6) "Survival Analysis with Interval-Censored Data: A Practical Approach" <https://www.routledge.com/Survival-Analysis-with-Interval-Censored-Data-A-Practical-Approach-with/Bogaerts-Komarek-Lesaffre/p/book/9781420077476>. Full R code related to the examples presented in the book can be found at <https://ibiostat.be/online-resources/icbook/supplemental>. Packages mentioned in the "Suggests" section are used in those examples.

r-idcnrba 1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=idcnrba
Licenses: GPL 3+
Build system: r
Synopsis: Interactive Application for Analyzing Representativeness and Nonresponse Bias
Description:

This package provides access to the Idea Data Center (IDC) application for conducting nonresponse bias analysis (NRBA). The IDC NRBA app is an interactive, browser-based Shiny application that can be used to analyze survey data with respect to response rates, representativeness, and nonresponse bias. This app provides a user-friendly interface to statistical methods implemented by the nrba package. Krenzke, Van de Kerckhove, and Mohadjer (2005) <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr and Riddles (2016) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR> provide an overview of the statistical methods implemented in the application.

r-imcexperiment 0.99.0
Propagated dependencies: r-summarizedexperiment@1.40.0 r-spatstat-geom@3.6-1 r-singlecellexperiment@1.32.0 r-s4vectors@0.48.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=imcExperiment
Licenses: Expat
Build system: r
Synopsis: Mass Cytometry S4 Class Structure Pipeline for Images
Description:

Containerizes cytometry data and allows for S4 class structure to extend slots related to cell morphology, spatial coordinates, phenotype network information, and unique cellular labeling.

r-influential 2.3.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/asalavaty/influential
Licenses: GPL 3
Build system: r
Synopsis: Identification and Classification of the Most Influential Nodes
Description:

This package provides functions for classification and ranking of candidate features, reconstruction of networks from adjacency matrices and data frames, topological analysis, and calculation of centrality measures. The package includes the SIRIR model, which combines leave-one-out cross-validation with the conventional SIR model to rank vertex influence in an unsupervised manner. Additional functions support assessment of dependence and correlation between network centrality measures, as well as estimation of conditional probabilities of deviation from their corresponding means in opposite directions.

r-iadt 1.2.1
Propagated dependencies: r-rmpfr@1.1-2 r-rdpack@2.6.4 r-mvnfast@0.2.8 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IADT
Licenses: GPL 3
Build system: r
Synopsis: Interaction Difference Test for Prediction Models
Description:

This package provides functions to conduct a model-agnostic asymptotic hypothesis test for the identification of interaction effects in black-box machine learning models. The null hypothesis assumes that a given set of covariates does not contribute to interaction effects in the prediction model. The test statistic is based on the difference of variances of partial dependence functions (Friedman (2008) <doi:10.1214/07-AOAS148> and Welchowski (2022) <doi:10.1007/s13253-021-00479-7>) with respect to the original black-box predictions and the predictions under the null hypothesis. The hypothesis test can be applied to any black-box prediction model, and the null hypothesis of the test can be flexibly specified according to the research question of interest. Furthermore, the test is computationally fast to apply as the null distribution does not require resampling or refitting black-box prediction models.

r-indgenerrors 0.1.6
Propagated dependencies: r-mixedindtests@1.2.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IndGenErrors
Licenses: GPL 2+
Build system: r
Synopsis: Tests of Independence Between Innovations of Generalized Error Models
Description:

Computation of test statistics of independence between (continuous) innovations of time series. They can be used with stochastic volatility models and Hidden Markov Models (HMM). This improves the results in Duchesne, Ghoudi & Remillard (2012) <doi:10.1002/cjs.11141>.

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