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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-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-irepro 1.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iRepro
Licenses: GPL 3
Build system: r
Synopsis: Reproducibility for Interval-Censored Data
Description:

Calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements (Kovacic and Varnai (2014) <doi:10.1097/EDE.0000000000000139>). ICC is estimated by maximum likelihood from model with one fixed and one random effect (both intercepts). Help in model checking (normality of subjects means and residuals) is provided.

r-itol-toolkit 1.1.12
Propagated dependencies: r-wesanderson@0.3.7 r-tidyr@1.3.1 r-stringr@1.6.0 r-stringdist@0.9.15 r-shiny@1.11.1 r-seqinr@4.2-36 r-rstudioapi@0.17.1 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-miniui@0.1.2 r-magrittr@2.0.4 r-ggsci@4.1.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-colourpicker@1.3.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://tongzhou2017.github.io/itol.toolkit/
Licenses: Expat
Build system: r
Synopsis: Helper Functions for 'Interactive Tree Of Life'
Description:

The Interactive Tree Of Life <https://itol.embl.de/> online server can edit and annotate trees interactively. The itol.toolkit package can support all types of annotation templates.

r-interva4 1.7.6
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InterVA4
Licenses: GPL 3
Build system: r
Synopsis: Replicate and Analyse 'InterVA4'
Description:

This package provides an R version of the InterVA4 software (<http://www.interva.net>) for coding cause of death from verbal autopsies. It also provides simple graphical representation of individual and population level statistics.

r-information 0.0.9
Propagated dependencies: r-plyr@1.8.9 r-iterators@1.0.14 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=Information
Licenses: GPL 3+
Build system: r
Synopsis: Data Exploration with Information Theory (Weight-of-Evidence and Information Value)
Description:

This package performs exploratory data analysis and variable screening for binary classification models using weight-of-evidence (WOE) and information value (IV). In order to make the package as efficient as possible, aggregations are done in data.table and creation of WOE vectors can be distributed across multiple cores. The package also supports exploration for uplift models (NWOE and NIV).

r-inecolr 0.1.0
Propagated dependencies: r-vegan@2.7-2 r-tree@1.0-45 r-terra@1.8-86 r-stringr@1.6.0 r-multcomp@1.4-29 r-gtools@3.9.5 r-gmodels@2.19.1 r-cli@3.6.5 r-boot@1.3-32 r-betapart@1.6.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=inecolr
Licenses: GPL 3
Build system: r
Synopsis: Modeling and Plotting for Ecologist
Description:

It provides multiple functions that are useful for ecological research and teaching statistics to ecologists. It is based on data analysis courses offered at the Instituto de Ecologà a AC (INECOL). For references and published evidence see, Manrique-Ascencio, et al (2024) <doi:10.1111/gcb.17282>, Manrique-Ascencio et al (2024) <doi:10.1111/plb.13683>, Ruiz-Guerra et al(2017) <doi:10.17129/botsci.812>, Juarez-Fragoso et al (2024) <doi:10.1007/s10980-024-01809-z>, Papaqui-Bello et al (2024) <doi:10.13102/sociobiology.v71i2.10503>.

r-ixplorer 0.2.2
Propagated dependencies: r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shiny-i18n@0.3.0 r-shiny@1.11.1 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-miniui@0.1.2 r-lubridate@1.9.4 r-keyring@1.4.1 r-kableextra@1.4.0 r-gitear@1.0.0 r-gert@2.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ixpantia/ixplorer
Licenses: AGPL 3+
Build system: r
Synopsis: Easy DataOps for R Users
Description:

Create and view tickets in gitea', a self-hosted git service <https://gitea.io>, using an RStudio addin, and use helper functions to publish documentation and use git.

r-iterator 0.1.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/stevecondylios/iteratoR
Licenses: Expat
Build system: r
Synopsis: Print Loop Iterations at Exponentially Disparate Intervals
Description:

Know which loop iteration the code execution is up to by including a single, convenient function call inside the loop.

r-ideamdb 0.0.9
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-ggplot2@4.0.1 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=ideamdb
Licenses: GPL 2+
Build system: r
Synopsis: Easy Manipulation of IDEAM's Climatological Data
Description:

Time series plain text conversion and data visualization. It allows to transform IDEAM (Instituto de Hidrologia, Meteorologia y Estudios Ambientales) daily series from plain text to CSV files or data frames in R. Additionally, it is possible to obtain exploratory graphs from times series. IDEAMâ s data is freely delivered under formal request through the official web page <http://www.ideam.gov.co/solicitud-de-informacion>.

r-ipsfs 1.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ipsfs
Licenses: GPL 2
Build system: r
Synopsis: Intuitionistic, Pythagorean, and Spherical Fuzzy Similarity Measure
Description:

Advanced fuzzy logic based techniques are implemented to compute the similarity among different objects or items. Typically, application areas consist of transforming raw data into the corresponding advanced fuzzy logic representation and determining the similarity between two objects using advanced fuzzy similarity techniques in various fields of research, such as text classification, pattern recognition, software projects, decision-making, medical diagnosis, and market prediction. Functions are designed to compute the membership, non-membership, hesitant-membership, indeterminacy-membership, and refusal-membership for the input matrices. Furthermore, it also includes a large number of advanced fuzzy logic based similarity measure functions to compute the Intuitionistic fuzzy similarity (IFS), Pythagorean fuzzy similarity (PFS), and Spherical fuzzy similarity (SFS) between two objects or items based on their fuzzy relationships. It also includes working examples for each function with sample data sets.

r-ivdesc 1.1.2
Propagated dependencies: r-rsample@1.3.1 r-purrr@1.2.0 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/sumtxt/ivdesc/
Licenses: GPL 3
Build system: r
Synopsis: Profiling Compliers and Non-Compliers for Instrumental Variable Analysis
Description:

Estimating the mean and variance of a covariate for the complier, never-taker and always-taker subpopulation in the context of instrumental variable estimation. This package implements the method described in Marbach and Hangartner (2020) <doi:10.1017/pan.2019.48> and Hangartner, Marbach, Henckel, Maathuis, Kelz and Keele (2021) <doi:10.48550/arXiv.2103.06328>.

r-icsclust 0.1.1
Propagated dependencies: r-tclust@2.1-2 r-scales@1.4.0 r-rrcov@1.7-7 r-rcpproll@0.3.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-otrimle@2.0 r-mvtnorm@1.3-3 r-moments@0.14.1 r-mclust@6.1.2 r-ics@1.4-2 r-heplots@1.8.1 r-ggplot2@4.0.1 r-ggally@2.4.0 r-fpc@2.2-13 r-cluster@2.1.8.1
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-infixit 0.3.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/prlitics/infixit
Licenses: Expat
Build system: r
Synopsis: Helpful Additional Infix Functions
Description:

Infix functions in R are those that comes between its arguments such as %in%, +, and *. These are useful in R programming when manipulating data, performing logical operations, and making new functions. infixit extends the infix functions found in R to simplify frequent tasks, such as finding elements that are NOT in a set, in-line text concatenation, augmented assignment operations, additional logical and control flow operators, and identifying if a number or date lies between two others.

r-incubate 1.3.0
Propagated dependencies: r-tibble@3.3.0 r-survival@3.8-3 r-rlang@1.1.6 r-purrr@1.2.0 r-mass@7.3-65 r-glue@1.8.0 r-future-apply@1.20.0 r-future@1.68.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://gitlab.com/imb-dev/incubate/
Licenses: LGPL 3+
Build system: r
Synopsis: Parametric Time-to-Event Analysis with Variable Incubation Phases
Description:

Fit parametric models for time-to-event data that show an initial incubation period', i.e., a variable delay phase where the hazard is zero. The delayed Weibull distribution serves as foundational data model. The specific method of MPSE (maximum product of spacings estimation) and MLE-based methods are used for parameter estimation. Bootstrap confidence intervals for parameters and significance tests in a two group setting are provided.

r-iccde 0.3.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iccde
Licenses: GPL 2+
Build system: r
Synopsis: Computation of the Double-Entry Intraclass Correlation
Description:

The functions compute the double-entry intraclass correlation, which is an index of profile similarity (Furr, 2010; McCrae, 2008). The double-entry intraclass correlation is a more precise index of the agreement of two empirically observed profiles than the often-used intraclass correlation (McCrae, 2008). Profiles comprising correlations are automatically transformed according to the Fisher z-transformation before the double-entry intraclass correlation is calculated. If the profiles comprise scores such as sum scores from various personality scales, it is recommended to standardize each individual score prior to computation of the double-entry intraclass correlation (McCrae, 2008). See Furr (2010) <doi:10.1080/00223890903379134> or McCrae (2008) <doi:10.1080/00223890701845104> for details.

r-inext-4steps 1.0.1
Propagated dependencies: r-reshape2@1.4.5 r-purrr@1.2.0 r-inext-3d@1.0.12 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://sites.google.com/view/chao-lab-website/software/inext-4steps/
Licenses: GPL 3+
Build system: r
Synopsis: Four-Step Biodiversity Analysis Based on 'iNEXT'
Description:

Expands iNEXT to include the estimation of sample completeness and evenness. The package provides simple functions to perform the following four-step biodiversity analysis: STEP 1: Assessment of sample completeness profiles. STEP 2a: Analysis of size-based rarefaction and extrapolation sampling curves to determine whether the asymptotic diversity can be accurately estimated. STEP 2b: Comparison of the observed and the estimated asymptotic diversity profiles. STEP 3: Analysis of non-asymptotic coverage-based rarefaction and extrapolation sampling curves. STEP 4: Assessment of evenness profiles. The analyses in STEPs 2a, 2b and STEP 3 are mainly based on the previous iNEXT package. Refer to the iNEXT package for details. This package is mainly focusing on the computation for STEPs 1 and 4. See Chao et al. (2020) <doi:10.1111/1440-1703.12102> for statistical background.

r-intervalaverage 0.8.0
Propagated dependencies: r-rcpp@1.1.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=intervalaverage
Licenses: GPL 3
Build system: r
Synopsis: Time-Weighted Averaging for Interval Data
Description:

Perform fast and memory efficient time-weighted averaging of values measured over intervals into new arbitrary intervals. This package is useful in the context of data measured or represented as constant values over intervals on a one-dimensional discrete axis (e.g. time-integrated averages of a curve over defined periods). This package was written specifically to deal with air pollution data recorded or predicted as averages over sampling periods. Data in this format often needs to be shifted to non-aligned periods or averaged up to periods of longer duration (e.g. averaging data measured over sequential non-overlapping periods to calendar years).

r-irricc 1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=irrICC
Licenses: GPL 2+
Build system: r
Synopsis: Intraclass Correlations for Quantifying Inter-Rater Reliability
Description:

Calculates various intraclass correlation coefficients used to quantify inter-rater and intra-rater reliability. The assumption here is that the raters produced quantitative ratings. Most of the statistical procedures implemented in this package are described in details in Gwet, K.L. (2014, ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th edition, Advanced Analytics, LLC.

r-interep 0.4.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/feizhoustat/interep
Licenses: GPL 2
Build system: r
Synopsis: Interaction Analysis of Repeated Measure Data
Description:

Extensive penalized variable selection methods have been developed in the past two decades for analyzing high dimensional omics data, such as gene expressions, single nucleotide polymorphisms (SNPs), copy number variations (CNVs) and others. However, lipidomics data have been rarely investigated by using high dimensional variable selection methods. This package incorporates our recently developed penalization procedures to conduct interaction analysis for high dimensional lipidomics data with repeated measurements. The core module of this package is developed in C++. The development of this software package and the associated statistical methods have been partially supported by an Innovative Research Award from Johnson Cancer Research Center, Kansas State University.

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-itdr 2.0.1
Propagated dependencies: r-tidyr@1.3.1 r-mass@7.3-65 r-magic@1.6-1 r-geigen@2.3 r-energy@1.7-12
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=itdr
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Integral Transformation Methods for SDR in Regression
Description:

The itdr() routine allows for the estimation of sufficient dimension reduction subspaces in univariate regression such as the central mean subspace or central subspace in regression. This is achieved using Fourier transformation methods proposed by Zhu and Zeng (2006) <doi:10.1198/016214506000000140>, convolution transformation methods proposed by Zeng and Zhu (2010) <doi:10.1016/j.jmva.2009.08.004>, and iterative Hessian transformation methods proposed by Cook and Li (2002) <doi:10.1214/aos/1021379861>. Additionally, mitdr() function provides optimal estimators for sufficient dimension reduction subspaces in multivariate regression by optimizing a discrepancy function using a Fourier transform approach proposed by Weng and Yin (2022) <doi:10.5705/ss.202020.0312>, and selects the sufficient variables using Fourier transform sparse inverse regression estimators proposed by Weng (2022) <doi:10.1016/j.csda.2021.107380>.

r-igcop 1.0.2
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 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=igcop
Licenses: Expat
Build system: r
Synopsis: Computational Tools for the IG and IGL Copula Families
Description:

Compute distributional quantities for an Integrated Gamma (IG) or Integrated Gamma Limit (IGL) copula, such as a cdf and density. Compute corresponding conditional quantities such as the cdf and quantiles. Generate data from an IG or IGL copula. See the vignette for formulas, or for a derivation, see Coia, V (2017) "Forecasting of Nonlinear Extreme Quantiles Using Copula Models." PhD Dissertation, The University of British Columbia.

r-itcsegment 1.0
Propagated dependencies: r-terra@1.8-86
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=itcSegment
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Individual Tree Crowns Segmentation
Description:

Three methods for Individual Tree Crowns (ITCs) delineation on remote sensing data: one is based on LiDAR data in x,y,z format and one on imagery data in raster format.

r-integratedjm 1.6
Propagated dependencies: r-nlme@3.1-168 r-ggplot2@4.0.1 r-biobase@2.70.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IntegratedJM
Licenses: GPL 3
Build system: r
Synopsis: Joint Modeling of the Gene-Expression and Bioassay Data, Taking Care of the Effect Due to a Fingerprint Feature
Description:

Offers modeling the association between gene-expression and bioassay data, taking care of the effect due to a fingerprint feature and helps with several plots to better understand the analysis.

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