_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-confinterpret 1.0.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jimvine/confinterpret
Licenses: AGPL 3
Synopsis: Descriptive Interpretations of Confidence Intervals
Description:

This package produces descriptive interpretations of confidence intervals. Includes (extensible) support for various test types, specified as sets of interpretations dependent on where the lower and upper confidence limits sit. Provides plotting functions for graphical display of interpretations.

r-cg 1.0-4
Propagated dependencies: r-vgam@1.1-13 r-survival@3.8-3 r-rms@8.1-0 r-nlme@3.1-168 r-multcomp@1.4-29 r-mass@7.3-65 r-lattice@0.22-7 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cg
Licenses: GPL 2 GPL 3
Synopsis: Compare Groups, Analytically and Graphically
Description:

Comprehensive data analysis software, and the name "cg" stands for "compare groups." Its genesis and evolution are driven by common needs to compare administrations, conditions, etc. in medicine research and development. The current version provides comparisons of unpaired samples, i.e. a linear model with one factor of at least two levels. It also provides comparisons of two paired samples. Good data graphs, modern statistical methods, and useful displays of results are emphasized.

r-cotima 1.0.2
Propagated dependencies: r-zcurve@2.4.5 r-stringi@1.8.7 r-scholar@0.2.5 r-rpushbullet@0.3.5 r-rootsolve@1.8.2.4 r-psych@2.5.6 r-openxlsx@4.2.8.1 r-openmx@2.22.10 r-mbess@4.9.41 r-matrix@1.7-4 r-mass@7.3-65 r-lavaan@0.6-20 r-foreach@1.5.2 r-doparallel@1.0.17 r-ctsem@3.10.4 r-crayon@1.5.3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/CoTiMA/CoTiMA
Licenses: GPL 3
Synopsis: Continuous Time Meta-Analysis ('CoTiMA')
Description:

The CoTiMA package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common fixed or random effects analysis. However, continuous time math, which is applied in CoTiMA', can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. CoTiMA fits models to empirical data using the structural equation model (SEM) package ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical model comparisons and significance tests are then performed on the continuous time parameter estimates. CoTiMA also allows analysis of publication bias (Egger's test, PET-PEESE estimates, zcurve analysis etc.) and analysis of statistical power (post hoc power, required sample sizes). See Dormann, C., Guthier, C., & Cortina, J. M. (2019) <doi:10.1177/1094428119847277>. and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) <doi:10.1037/bul0000304>.

r-circularsilhouette 0.0.1
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-optcirclust@0.0.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CircularSilhouette
Licenses: LGPL 3+
Synopsis: Fast Silhouette on Circular or Linear Data Clusters
Description:

Calculating silhouette information for clusters on circular or linear data using fast algorithms. These algorithms run in linear time on sorted data, in contrast to quadratic time by the definition of silhouette. When used together with the fast and optimal circular clustering method FOCC (Debnath & Song 2021) <doi:10.1109/TCBB.2021.3077573> implemented in R package OptCirClust', circular silhouette can be maximized to find the optimal number of circular clusters; it can also be used to estimate the period of noisy periodical data.

r-casimir 0.3.3
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-stringr@1.6.0 r-rsample@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-options@0.3.1 r-furrr@0.3.1 r-dplyr@1.1.4 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://deutsche-nationalbibliothek.github.io/casimir/
Licenses: Expat
Synopsis: Comparing Automated Subject Indexing Methods in R
Description:

Perform evaluation of automatic subject indexing methods. The main focus of the package is to enable efficient computation of set retrieval and ranked retrieval metrics across multiple dimensions of a dataset, e.g. document strata or subsets of the label set. The package also provides the possibility of computing bootstrap confidence intervals for all major metrics, with seamless integration of parallel computation and propensity scored variants of standard metrics.

r-cego 2.4.4
Propagated dependencies: r-quadprog@1.5-8 r-matrix@1.7-4 r-mass@7.3-65 r-fastmatch@1.1-6 r-deoptim@2.2-8 r-anticlust@0.8.13
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=CEGO
Licenses: GPL 3+
Synopsis: Combinatorial Efficient Global Optimization
Description:

Model building, surrogate model based optimization and Efficient Global Optimization in combinatorial or mixed search spaces.

r-chatgpt 0.2.3
Propagated dependencies: r-shiny@1.11.1 r-rstudioapi@0.17.1 r-miniui@0.1.2 r-jsonlite@2.0.0 r-httr@1.4.7 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/jcrodriguez1989/chatgpt
Licenses: GPL 3+
Synopsis: Interface to 'ChatGPT' from R
Description:

OpenAI's ChatGPT <https://chat.openai.com/> coding assistant for RStudio'. A set of functions and RStudio addins that aim to help the R developer in tedious coding tasks.

r-clustringr 1.0
Propagated dependencies: r-tidygraph@1.3.1 r-stringr@1.6.0 r-stringi@1.8.7 r-stringdist@0.9.15 r-rlang@1.1.6 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dplyr@1.1.4 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clustringr
Licenses: Expat
Synopsis: Cluster Strings by Edit-Distance
Description:

Returns an edit-distance based clusterization of an input vector of strings. Each cluster will contain a set of strings w/ small mutual edit-distance (e.g., Levenshtein, optimum-sequence-alignment, Damerau-Levenshtein), as computed by stringdist::stringdist(). The set of all mutual edit-distances is then used by graph algorithms (from package igraph') to single out subsets of high connectivity.

r-cclust 0.6-26
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=cclust
Licenses: GPL 2
Synopsis: Convex Clustering Methods and Clustering Indexes
Description:

Convex Clustering methods, including K-means algorithm, On-line Update algorithm (Hard Competitive Learning) and Neural Gas algorithm (Soft Competitive Learning), and calculation of several indexes for finding the number of clusters in a data set.

r-clarketest 0.2.0
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clarkeTest
Licenses: GPL 2+
Synopsis: Distribution-Free Tests of Non-Nested Models
Description:

Implementation of Clarke's distribution-free test of non-nested models. Currently supported model functions are: lm(), glm() ('binomial', poisson', negative binomial links), polr() ('MASS'), clm() ('ordinal'), and multinom() ('nnet'). For more information on the test, see Clarke (2007) <doi:10.1093/pan/mpm004>.

r-colorplane 0.5.0
Propagated dependencies: r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=colorplane
Licenses: Expat
Synopsis: Basic S4 Classes and Methods for Mapping Between Numeric Values and Colors
Description:

This package provides a simple set of classes and methods for mapping between scalar intensity values and colors. There is also support for layering maps on top of one another using alpha composition.

r-cellkey 1.0.3
Propagated dependencies: r-yaml@2.3.10 r-sdctable@0.33.0 r-sdchierarchies@0.22.0 r-rlang@1.1.6 r-ptable@1.0.0 r-digest@0.6.39 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/sdcTools/cellKey
Licenses: GPL 2
Synopsis: Consistent Perturbation of Statistical Frequency- And Magnitude Tables
Description:

Data from statistical agencies and other institutions often need to be protected before they can be published. This package can be used to perturb statistical tables in a consistent way. The main idea is to add - at the micro data level - a record key for each unit. Based on these keys, for any cell in a statistical table a cell key is computed as a function on the record keys contributing to a specific cell. Values that are added to the cell in order to perturb it are derived from a lookup-table that maps values of cell keys to specific perturbation values. The theoretical basis for the methods implemented can be found in Thompson, Broadfoot and Elazar (2013) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf> which was extended and enhanced by Giessing and Tent (2019) <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.

r-clusttmb 0.1.0
Propagated dependencies: r-tmb@1.9.18 r-sf@1.0-23 r-reformulas@0.4.2 r-rcppeigen@0.3.4.0.2 r-moeclust@1.6.0 r-mclust@6.1.2 r-matrix@1.7-4 r-lme4@1.1-37 r-fmesher@0.5.0 r-clustmixtype@0.4-2 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/Andrea-Havron/clustTMB
Licenses: GPL 3
Synopsis: Spatio-Temporal Finite Mixture Model using 'TMB'
Description:

Fits a spatio-temporal finite mixture model using TMB'. Covariate, spatial and temporal random effects can be incorporated into the gating formula using multinomial logistic regression, the expert formula using a generalized linear mixed model framework, or both.

r-colorizer 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-magick@2.9.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/zumbov2/colorizer
Licenses: Expat
Synopsis: Colorize Old Images Using the 'DeOldify' Image Colorization API
Description:

Call the DeOldify <https://github.com/jantic/DeOldify> image colorization API on DeepAI'<https://deepai.org/machine-learning-model/colorizer> to colorize black and white images.

r-clockify 0.1.6
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-rlist@0.4.6.2 r-purrr@1.2.0 r-lubridate@1.9.4 r-logger@0.4.1 r-janitor@2.2.1 r-httr@1.4.7 r-dplyr@1.1.4 r-anytime@0.3.12
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clockify
Licenses: GPL 3
Synopsis: Wrapper for the 'Clockify' API
Description:

This package provides a wrapper for the Clockify API <https://docs.clockify.me/>, making it possible to query, insert and update time keeping data.

r-copula-surv 3.0
Propagated dependencies: 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=Copula.surv
Licenses: GPL 2
Synopsis: Analysis of Bivariate Survival Data Based on Copulas
Description:

Simulating bivariate survival data from copula models. Estimation of the association parameter in copula models. Two different ways to estimate the association parameter in copula models are implemented. A goodness-of-fit test for a given copula model is implemented. See Emura, Lin and Wang (2010) <doi:10.1016/j.csda.2010.03.013> for details.

r-codebookr 0.1.8
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-officer@0.7.1 r-haven@2.5.5 r-flextable@0.9.10 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/brad-cannell/codebookr
Licenses: Expat
Synopsis: Create Codebooks from Data Frames
Description:

Quickly and easily create codebooks (i.e. data dictionaries) directly from a data frame.

r-cld 0.0.1
Propagated dependencies: r-rlang@1.1.6 r-multcompview@0.1-10 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://gegznav.github.io/cld/
Licenses: GPL 3+
Synopsis: Create Compact Letter Display (CLD) for Statistical Comparisons
Description:

This package creates compact letter displays (CLDs) for pairwise comparisons from statistical post-hoc tests. Groups sharing the same letter are not significantly different from each other. Supports multiple input formats including results from stats pairwise tests, DescTools', PMCMRplus', rstatix', symmetric matrices of p-values, and data frames. Provides a consistent interface for visualizing statistical groupings across different testing frameworks.

r-cohortbuilder 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-glue@1.8.0 r-ggplot2@4.0.1 r-formatr@1.14 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/r-world-devs/cohortBuilder/
Licenses: Expat
Synopsis: Data Source Agnostic Filtering Tools
Description:

Common API for filtering data stored in different data models. Provides multiple filter types and reproducible R code. Works standalone or with shinyCohortBuilder as the GUI for interactive Shiny apps.

r-cronbach 0.3
Propagated dependencies: r-rfast2@0.1.5.5 r-rfast@2.1.5.2 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=Cronbach
Licenses: GPL 2+
Synopsis: Cronbach's Alpha
Description:

Cronbach's alpha and various formulas for confidence intervals. The relevant paper is Tsagris M., Frangos C.C. and Frangos C.C. (2013). "Confidence intervals for Cronbach's reliability coefficient". Recent Techniques in Educational Science, 14-16 May, Athens, Greece.

r-clustnet 1.2.0
Propagated dependencies: r-rbgl@1.86.0 r-pcalg@2.7-12 r-igraph@2.2.1 r-graph@1.88.0 r-clue@0.3-66 r-bidag@2.1.4
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=clustNet
Licenses: GPL 3
Synopsis: Network-Based Clustering
Description:

Network-based clustering using a Bayesian network mixture model with optional covariate adjustment.

r-circlesintersections 1.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://github.com/hugosal/CirclesIntersections
Licenses: Expat
Synopsis: Algorithm for Computation of the Intersection Areas of N Circles
Description:

Implementation of Librino, Levorato, and Zorzi (2014) <doi:10.1002/wcm.2305> algorithm for computation of the intersection areas of an arbitrary number of circles.

r-combins 1.2
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://mlaib.net
Licenses: GPL 3
Synopsis: Construction Methods for Series of PBIB Designs via Combinatory Method S
Description:

This package provides constructions of series of partially balanced incomplete block designs (PBIB) based on the combinatory method S, introduced by Rezgui et al. (2014) <doi:10.3844/jmssp.2014.45.48>. This package also offers the associated U-type designs. Version 1.1-1 generalizes the approach to designs with v = wnl treatments. It includes various rectangular and generalized rectangular right angular association schemes with 4, 5, and 7 associated classes.

r-confidence 1.1-3
Propagated dependencies: r-xtable@1.8-4 r-plyr@1.8.9 r-markdown@2.0 r-knitr@1.50 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/c.scm (guix-cran packages c)
Home page: https://cran.r-project.org/package=confidence
Licenses: GPL 3+
Synopsis: Confidence Estimation of Environmental State Classifications
Description:

This package provides functions for estimating and reporting multi-year averages and corresponding confidence intervals and distributions. A potential use case is reporting the chemical and ecological status of surface waters according to the European Water Framework Directive.

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Total results: 68249