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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-cleanbsequences 2.3.0
Propagated dependencies: r-pwalign@1.6.0 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CleanBSequences
Licenses: GPL 2+
Synopsis: Curing of Biological Sequences
Description:

Curates biological sequences massively, quickly, without errors and without internet connection. Biological sequences curing is performed by aligning the forward and / or revers primers or ends of cloning vectors with the sequences to be cleaned. After the alignment, new subsequences are generated without biological fragment not desired by the user. Pozzi et al (2020) <doi:10.1007/s00438-020-01671-z>.

r-cadence 1.2.5
Propagated dependencies: r-pso@1.0.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CaDENCE
Licenses: GPL 2
Synopsis: Conditional Density Estimation Network Construction and Evaluation
Description:

Parameters of a user-specified probability distribution are modelled by a multi-layer perceptron artificial neural network. This framework can be used to implement probabilistic nonlinear models including mixture density networks, heteroscedastic regression models, zero-inflated models, etc. following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.

r-cookiemonster 0.1.0
Propagated dependencies: r-vctrs@0.6.5 r-urltools@1.7.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-rlang@1.1.6 r-rappdirs@0.3.3 r-openssl@2.3.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/JBGruber/cookiemonster
Licenses: GPL 3+
Synopsis: Your Friendly Solution to Managing Browser Cookies
Description:

This package provides a convenient tool to store and format browser cookies and use them in HTTP requests (for example, through httr2', httr or curl').

r-coga 1.2.2
Dependencies: gsl@2.8
Propagated dependencies: r-rcppgsl@0.3.13 r-rcpp@1.1.0 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/ChaoranHu/coga
Licenses: GPL 3+
Synopsis: Convolution of Gamma Distributions
Description:

Evaluation for density and distribution function of convolution of gamma distributions in R. Two related exact methods and one approximate method are implemented with efficient algorithm and C++ code. A quick guide for choosing correct method and usage of this package is given in package vignette. For the detail of methods used in this package, we refer the user to Mathai(1982)<doi:10.1007/BF02481056>, Moschopoulos(1984)<doi:10.1007/BF02481123>, Barnabani(2017)<doi:10.1080/03610918.2014.963612>, Hu et al.(2020)<doi:10.1007/s00180-019-00924-9>.

r-corlink 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=corlink
Licenses: CC0
Synopsis: Record Linkage, Incorporating Imputation for Missing Agreement Patterns, and Modeling Correlation Patterns Between Fields
Description:

This package provides a matrix of agreement patterns and counts for record pairs is the input for the procedure. An EM algorithm is used to impute plausible values for missing record pairs. A second EM algorithm, incorporating possible correlations between per-field agreement, is used to estimate posterior probabilities that each pair is a true match - i.e. constitutes the same individual.

r-chords 0.95.4
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=chords
Licenses: GPL 2
Synopsis: Estimation in Respondent Driven Samples
Description:

Maximum likelihood estimation in respondent driven samples.

r-conformalbayes 0.1.4
Propagated dependencies: r-rstantools@2.5.0 r-matrixstats@1.5.0 r-loo@2.8.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/CoryMcCartan/conformalbayes
Licenses: Expat
Synopsis: Jackknife(+) Predictive Intervals for Bayesian Models
Description:

This package provides functions to construct finite-sample calibrated predictive intervals for Bayesian models, following the approach in Barber et al. (2021) <doi:10.1214/20-AOS1965>. These intervals are calculated efficiently using importance sampling for the leave-one-out residuals. By default, the intervals will also reflect the relative uncertainty in the Bayesian model, using the locally-weighted conformal methods of Lei et al. (2018) <doi:10.1080/01621459.2017.1307116>.

r-cpt 1.0.2
Propagated dependencies: r-randomforest@4.7-1.2 r-nnet@7.3-20 r-mass@7.3-65 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://dept.stat.lsa.umich.edu/~johanngb
Licenses: GPL 2+ GPL 3+
Synopsis: Classification Permutation Test
Description:

Non-parametric test for equality of multivariate distributions. Trains a classifier to classify (multivariate) observations as coming from one of several distributions. If the classifier is able to classify the observations better than would be expected by chance (using permutation inference), then the null hypothesis that the distributions are equal is rejected.

r-choroplethrmaps 1.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: http://www.arilamstein.com/open-source
Licenses: Modified BSD
Synopsis: Contains Maps Used by the 'choroplethr' Package
Description:

This package contains 3 maps. 1) US States 2) US Counties 3) Countries of the world.

r-commonmean-copula 1.0.4
Propagated dependencies: r-pracma@2.4.6 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CommonMean.Copula
Licenses: GPL 2
Synopsis: Common Mean Vector under Copula Models
Description:

Estimate bivariate common mean vector under copula models with known correlation. In the current version, available copulas are the Clayton, Gumbel, Frank, Farlie-Gumbel-Morgenstern (FGM), and normal copulas. See Shih et al. (2019) <doi:10.1080/02331888.2019.1581782> and Shih et al. (2021) <under review> for details under the FGM and general copulas, respectively.

r-custom-gauss-quad 1.0.0
Propagated dependencies: r-rmpfr@1.1-2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=custom.gauss.quad
Licenses: Expat
Synopsis: Custom Made Gauss Quadrature Nodes and Weights
Description:

Use the high-precision arithmetic provided by the R package Rmpfr to compute a custom-made Gauss quadrature nodes and weights, with up to 33 nodes, using a moment-based method via moment determinants. Paul Kabaila (2022) <arXiv:2211.04729>.

r-cmenet 0.1.2
Propagated dependencies: r-sparsenet@1.7 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-hiernet@1.9 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cmenet
Licenses: GPL 2+
Synopsis: Bi-Level Selection of Conditional Main Effects
Description:

This package provides functions for implementing cmenet - a bi-level variable selection method for conditional main effects (see Mak and Wu (2018) <doi:10.1080/01621459.2018.1448828>). CMEs are reparametrized interaction effects which capture the conditional impact of a factor at a fixed level of another factor. Compared to traditional two-factor interactions, CMEs can quantify more interpretable interaction effects in many problems. The current implementation performs variable selection on only binary CMEs; we are working on an extension for the continuous setting.

r-catr 3.17
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=catR
Licenses: GPL 3+
Synopsis: Generation of IRT Response Patterns under Computerized Adaptive Testing
Description:

This package provides routines for the generation of response patterns under unidimensional dichotomous and polytomous computerized adaptive testing (CAT) framework. It holds many standard functions to estimate ability, select the first item(s) to administer and optimally select the next item, as well as several stopping rules. Options to control for item exposure and content balancing are also available (Magis and Barrada (2017) <doi:10.18637/jss.v076.c01>).

r-contrastable 1.1.0
Propagated dependencies: r-tidyselect@1.2.1 r-rlang@1.1.6 r-purrr@1.2.0 r-mass@7.3-65 r-glue@1.8.0 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/tsostarics/contrastable
Licenses: Expat
Synopsis: Consistent Contrast Coding for Factors
Description:

Quickly set and summarize contrasts for factors prior to regression analyses. Intended comparisons, baseline conditions, and intercepts can be explicitly set and documented without the user needing to directly manipulate matrices. Reviews and introductions for contrast coding are available in Brehm and Alday (2022)<doi:10.1016/j.jml.2022.104334> and Schad et al. (2020)<doi:10.1016/j.jml.2019.104038>.

r-cover2 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-terra@1.8-86 r-mgc@2.0.2 r-lubridate@1.9.4 r-jpeg@0.1-11 r-dplyr@1.1.4 r-autothresholdr@1.4.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=coveR2
Licenses: Expat
Synopsis: Process Digital Cover Photography Images of Tree Crowns
Description:

Process Digital Cover Photography images of tree canopies to get canopy attributes like Foliage Cover and Leaf Area Index. Detailed description of the methods in Chianucci et al. (2022) <doi:10.1007/s00468-018-1666-3>.

r-calba 0.1.2
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=calba
Licenses: GPL 3
Synopsis: Efficient Neighborhood Basal Area Metrics for Trees
Description:

Fast C++'-backed tools for computing conspecific and total neighborhood basal area in mapped forest plots. Includes unweighted and distance-weighted neighborhoods, multiple radii, decay kernels, and basic edge correction. Outputs are model-ready covariates for forest competition, growth, and survival models, following neighborhood modeling workflows commonly used in spatial ecology (e.g., Hülsmann et al. 2024 <doi:10.1038/s41586-024-07118-4>).

r-codep 1.2-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=codep
Licenses: GPL 3
Synopsis: Multiscale Codependence Analysis
Description:

Computation of Multiscale Codependence Analysis and spatial eigenvector maps.

r-ctmcmove 1.2.10
Propagated dependencies: r-sp@2.2-0 r-raster@3.6-32 r-matrix@1.7-4 r-gdistance@1.6.5 r-fda@6.3.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=ctmcmove
Licenses: GPL 2
Synopsis: Modeling Animal Movement with Continuous-Time Discrete-Space Markov Chains
Description:

Software to facilitates taking movement data in xyt format and pairing it with raster covariates within a continuous time Markov chain (CTMC) framework. As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> , this allows flexible modeling of movement in response to covariates (or covariate gradients) with model fitting possible within a Poisson GLM framework.

r-clusterhap 0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clusterhap
Licenses: GPL 3
Synopsis: Clustering Genotypes in Haplotypes
Description:

One haplotype is a combination of SNP (Single Nucleotide Polymorphisms) within the QTL (Quantitative Trait Loci). clusterhap groups together all individuals of a population with the same haplotype. Each group contains individual with the same allele in each SNP, whether or not missing data. Thus, clusterhap groups individuals, that to be imputed, have a non-zero probability of having the same alleles in the entire sequence of SNP's. Moreover, clusterhap calculates such probability from relative frequencies.

r-clustermq 0.9.9
Dependencies: zlib@1.3.1
Propagated dependencies: r-rcpp@1.1.0 r-r6@2.6.1 r-progress@1.2.3 r-globals@0.18.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mschubert.github.io/clustermq/
Licenses: ASL 2.0 FSDG-compatible
Synopsis: Evaluate Function Calls on HPC Schedulers (LSF, SGE, SLURM, PBS/Torque)
Description:

Evaluate arbitrary function calls using workers on HPC schedulers in single line of code. All processing is done on the network without accessing the file system. Remote schedulers are supported via SSH.

r-clinicalomicsdbr 1.0.5
Propagated dependencies: r-r6@2.6.1 r-jsonlite@2.0.0 r-httr2@1.2.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/bzhanglab/clinicalomicsdbR
Licenses: Expat
Synopsis: Interface with the 'ClinicalOmicsDB' API, Allowing for Easy Data Downloading and Importing
Description:

This package provides an interface to the ClinicalOmicsDB API, allowing for easy data downloading and importing. ClinicalOmicsDB is a database of clinical and omics data from cancer patients. The database is accessible at <http://trials.linkedomics.org>.

r-compositereliability 1.0.3
Propagated dependencies: r-tidyr@1.3.1 r-rsolnp@2.0.1 r-reshape2@1.4.5 r-psych@2.5.6 r-plyr@1.8.9 r-magrittr@2.0.4 r-lme4@1.1-37 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jmoonen/CompositeReliability
Licenses: GPL 3+
Synopsis: Determine the Composite Reliability of a Naturalistic, Unbalanced Dataset
Description:

The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets. This package provides an easy-to-use solution for calculating composite reliability for different assessment types. It allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations. Overall, our approach enhances the reliability of composite assessments, making it suitable for various education contexts.

r-calcunique 0.1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/stephenbfroehlich/calcUnique
Licenses: Expat
Synopsis: Simple Wrapper for Computationally Expensive Functions
Description:

This is a one-function package that will pass only unique values to a computationally-expensive function that returns an output of the same length as the input. In importing and working with tidy data, it is common to have index columns, often including time stamps that are far from unique. Some functions to work with these such as text conversion to other variable types (e.g. as.POSIXct()), various grep()-based functions, and often the cut() function are relatively slow when working with tens of millions of rows or more.

r-corncob 0.4.2
Propagated dependencies: r-vgam@1.1-13 r-trust@0.1-8 r-scales@1.4.0 r-rlang@1.1.6 r-numderiv@2016.8-1.1 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-detectseparation@0.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/statdivlab/corncob
Licenses: GPL 2+
Synopsis: Count Regression for Correlated Observations with the Beta-Binomial
Description:

Statistical modeling for correlated count data using the beta-binomial distribution, described in Martin et al. (2020) <doi:10.1214/19-AOAS1283>. It allows for both mean and overdispersion covariates.

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Total results: 68249