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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-intersim 2.3.0
Propagated dependencies: r-nmf@0.28 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=InterSIM
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Simulation of Inter-Related Genomic Datasets
Description:

Generates three inter-related genomic datasets: methylation, gene expression and protein expression having user specified cluster patterns. The simulation utilizes the realistic inter- and intra- relationships from real DNA methylation, mRNA expression and protein expression data from the TCGA ovarian cancer study, Chalise (2016) <doi:10.1016/j.cmpb.2016.02.011>.

r-idmining 1.0.7
Propagated dependencies: 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://www.sites.google.com/site/jeangolayresearch/
Licenses: FSDG-compatible
Build system: r
Synopsis: Intrinsic Dimension for Data Mining
Description:

This package contains techniques for mining large and high-dimensional data sets by using the concept of Intrinsic Dimension (ID). Here the ID is not necessarily an integer. It is extended to fractal dimensions. And the Morisita estimator is used for the ID estimation, but other tools are included as well.

r-inlcolor 1.0.6
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 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/inlcolor-main/
Licenses: CC0
Build system: r
Synopsis: Color Schemes for the USGS Idaho National Laboratory Project Office
Description:

This package provides a collection of functions for creating color schemes. Used to support packages and scripts written by researchers at the United States Geological Survey (USGS) Idaho National Laboratory Project Office.

r-ispyardswinprobabilitygsdesign 0.1.0
Propagated dependencies: r-dfba@0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISPYARDSWinProbabilityGSDesign
Licenses: GPL 2
Build system: r
Synopsis: Trial Design in Respiratory Disease Based on the Win Probability
Description:

This package provides analysis results and trial simulation functions for the I-SPY Acute Respiratory Disease Syndrome trial based on composite ranked outcomes. The composite ranked outcome is a hierarchical outcome where trial participants are ranked first by 28 day mortality, then ventilator days, then by advanced respiratory support days. A Bayesian win probability approach is used for analysis. Trial design options include group sequential looks for safety, superiority, futility, and adjustment of randomization probabilities.

r-interca 0.1.2
Propagated dependencies: r-waiter@0.2.5-1.927501b r-shinywidgets@0.9.0 r-shinyfeedback@0.4.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-readxl@1.4.5 r-readr@2.1.6 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-factominer@2.12 r-factoextra@1.0.7 r-dt@0.34.0 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=interca
Licenses: GPL 3
Build system: r
Synopsis: Multiple Correspondence Analysis Based on Interpretive Coordinates
Description:

Various functions and a Shiny app to enrich the results of Multiple Correspondence Analysis with interpretive axes and planes (see Moschidis, Markos, and Thanopoulos, 2022; <doi:10.1108/ACI-07-2022-0191>).

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-iarm 0.4.3
Propagated dependencies: r-vcdextra@0.9.0 r-psychotools@0.7-5 r-hmisc@5.2-4 r-gridextra@2.3 r-ggplot2@4.0.1 r-erm@1.0-10
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iarm
Licenses: GPL 2
Build system: r
Synopsis: Item Analysis in Rasch Models
Description:

This package provides tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item characteristic curves, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).

r-invasioncorrection 0.1
Propagated dependencies: r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InvasionCorrection
Licenses: GPL 3
Build system: r
Synopsis: Invasion Correction
Description:

The correction is achieved under the assumption that non-migrating cells of the essay approximately form a quadratic flow profile due to frictional effects, compare law of Hagen-Poiseuille for flow in a tube. The script fits a conical plane to give xyz-coordinates of the cells. It outputs the number of migrated cells and the new corrected coordinates.

r-idsl-mxp 2.0
Propagated dependencies: r-xml2@1.5.0 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IDSL.MXP
Licenses: Expat
Build system: r
Synopsis: Parser for mzML, mzXML, and netCDF Files (Mass Spectrometry Data)
Description:

This package provides a tiny parser to extract mass spectra data and metadata table of mass spectrometry acquisition properties from mzML, mzXML and netCDF files introduced in <doi:10.1021/acs.jproteome.2c00120>.

r-idmact 1.0.1
Propagated dependencies: r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/mncube/idmact
Licenses: Expat
Build system: r
Synopsis: Interpreting Differences Between Mean ACT Scores
Description:

Interpreting the differences between mean scale scores across various forms of an assessment can be challenging. This difficulty arises from different mappings between raw scores and scale scores, complex mathematical relationships, adjustments based on judgmental procedures, and diverse equating functions applied to different assessment forms. An alternative method involves running simulations to explore the effect of incrementing raw scores on mean scale scores. The idmact package provides an implementation of this approach based on the algorithm detailed in Schiel (1998) <https://www.act.org/content/dam/act/unsecured/documents/ACT_RR98-01.pdf> which was developed to help interpret differences between mean scale scores on the American College Testing (ACT) assessment. The function idmact_subj() within the package offers a framework for running simulations on subject-level scores. In contrast, the idmact_comp() function provides a framework for conducting simulations on composite scores.

r-irtgui 0.2
Propagated dependencies: r-writexl@1.5.4 r-wrightmap@1.4 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-readxl@1.4.5 r-psych@2.5.6 r-mirt@1.45.1 r-magrittr@2.0.4 r-irtoys@0.2.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=irtGUI
Licenses: GPL 3+
Build system: r
Synopsis: Item Response Theory Analysis with a Graphic User Interface
Description:

Performing Item Response Theory analysis such as parameter estimation, ability estimation, data generation, item and model fit analyse, local independence assumption, dimensionality assumption, wright map, characteristic and information curves under various models with a user-friendly Graphic User Interface.

r-istacr 0.3.0
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=istacr
Licenses: GPL 3+
Build system: r
Synopsis: Obtaining Open Data from Instituto Canario De Estadistica (ISTAC) API
Description:

You can access to open data published in Instituto Canario De Estadistica (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.

r-isubgen 1.0.4
Propagated dependencies: r-tensorflow@2.20.0 r-philentropy@0.10.0 r-keras@2.16.0 r-consensusclusterplus@1.74.0 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/uclahs-cds/package-iSubGen
Licenses: GPL 2
Build system: r
Synopsis: Integrative Subtype Generation
Description:

Multi-data type subtyping, which is data type agnostic and accepts missing data. Subtyping is performed using intermediary assessments created with autoencoders and similarity calculations. See Fox et al. (2024) <doi:10.1016/j.crmeth.2024.100884> for details.

r-intmed 0.1.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-mice@3.18.0 r-mass@7.3-65 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=intmed
Licenses: Expat
Build system: r
Synopsis: Mediation Analysis using Interventional Effects
Description:

Implementing the interventional effects for mediation analysis for up to 3 mediators. The methods used are based on VanderWeele, Vansteelandt and Robins (2014) <doi:10.1097/ede.0000000000000034>, Vansteelandt and Daniel (2017) <doi:10.1097/ede.0000000000000596> and Chan and Leung (2020; unpublished manuscript, available on request from the author of this package). Linear regression, logistic regression and Poisson regression are used for continuous, binary and count mediator/outcome variables respectively.

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-injector 0.2.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/dfci-cccb/injectoR
Licenses: LGPL 3+
Build system: r
Synopsis: R Dependency Injection
Description:

R dependency injection framework. Dependency injection allows a program design to follow the dependency inversion principle. The user delegates to external code (the injector) the responsibility of providing its dependencies. This separates the responsibilities of use and construction.

r-inzightts 2.0.3
Propagated dependencies: r-urca@1.3-4 r-tsibble@1.1.6 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-patchwork@1.3.2 r-lubridate@1.9.4 r-glue@1.8.0 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-forcats@1.0.1 r-feasts@0.4.2 r-fabletools@0.5.1 r-fable@0.5.0 r-evaluate@1.0.5 r-dplyr@1.1.4 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://inzight.nz
Licenses: GPL 3
Build system: r
Synopsis: Time Series for 'iNZight'
Description:

This package provides a collection of functions for working with time series data, including functions for drawing, decomposing, and forecasting. Includes capabilities to compare multiple series and fit both additive and multiplicative models. Used by iNZight', a graphical user interface providing easy exploration and visualisation of data for students of statistics, available in both desktop and online versions. Holt (1957) <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960) <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL: A Seasonal-Trend Decomposition Procedure Based on Loess".

r-idmc 0.4.1
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ocha-dap/idmc
Licenses: GPL 3+
Build system: r
Synopsis: Load and Wrangle IDMC Displacement Data
Description:

Utilities to work with data from the Internal Displacement Monitoring Centre (IDMC) (<https://www.internal-displacement.org/>), with convenient functions for loading events data from the IDMC API and transforming events data to daily displacement estimates.

r-ipaddress 1.0.3
Propagated dependencies: r-vctrs@0.6.5 r-rlang@1.1.6 r-rcpp@1.1.0 r-cli@3.6.5 r-asioheaders@1.30.2-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://davidchall.github.io/ipaddress/
Licenses: Expat
Build system: r
Synopsis: Data Analysis for IP Addresses and Networks
Description:

This package provides classes and functions for working with IP (Internet Protocol) addresses and networks, inspired by the Python ipaddress module. Offers full support for both IPv4 and IPv6 (Internet Protocol versions 4 and 6) address spaces. It is specifically designed to work well with the tidyverse'.

r-intensitynet 1.4.0
Propagated dependencies: r-viridis@0.6.5 r-spdep@1.4-1 r-spatstat-geom@3.6-1 r-sna@2.8 r-matrix@1.7-4 r-intergraph@2.0-4 r-igraph@2.2.1 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=intensitynet
Licenses: GPL 3
Build system: r
Synopsis: Intensity Analysis of Spatial Point Patterns on Complex Networks
Description:

This package provides tools to analyze point patterns in space occurring over planar network structures derived from graph-related intensity measures for undirected, directed, and mixed networks. This package is based on the following research: Eckardt and Mateu (2018) <doi:10.1080/10618600.2017.1391695>. Eckardt and Mateu (2021) <doi:10.1007/s11749-020-00720-4>.

r-ibmsunburst 0.1.4
Propagated dependencies: r-jsonlite@2.0.0 r-htmlwidgets@1.6.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/jumpingrivers/ibmsunburst
Licenses: Expat
Build system: r
Synopsis: Generate Personality Insights Sunburst Diagrams
Description:

Generates Personality Insights sunburst diagrams based on IBM Watson Personality Insights service output.

r-igascores 0.1.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://doi.org/10.1101/2020.08.19.257501
Licenses: GPL 3
Build system: r
Synopsis: Score Taxon-Level IgA Binding in IgA-Seq Experiments
Description:

This package provides functions to calculate indices used to score immunoglobulin A (IgA) binding of bacteria in IgA sequencing (IgA-Seq) experiments. This includes the original Kau and Palm indices and more recent methods as described in Jackson et al. (2020) <doi:10.1101/2020.08.19.257501>. Additionally the package contains a function to simulate IgA-Seq data and an example experimental data set for method testing.

r-ifpd 0.1.0
Propagated dependencies: r-zoo@1.8-14 r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/mubarakfadhlul/ifpd
Licenses: GPL 3
Build system: r
Synopsis: Indonesia Food Prices Data
Description:

Imputation of missing values using the last observation carried forward technique on Indonesia food prices data that is time series data. Also, this technique applies imputation to data whose dates do not appear directly. So that the series assumptions in the time series data are met.

r-intervalpsych 0.1.0
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-purrr@1.2.0 r-posterior@1.6.1 r-ggplot2@4.0.1 r-ggokabeito@0.1.0 r-ggdist@3.3.3 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://matthiaskloft.github.io/intervalpsych/
Licenses: GPL 3+
Build system: r
Synopsis: Analyzing Interval Data in Psychometrics
Description:

This package implements the Interval Consensus Model (ICM) for analyzing continuous bounded interval-valued responses in psychometrics using Stan for Bayesian estimation. Provides functions for transforming interval data to simplex representations, fitting item response theory (IRT) models with isometric log-ratio (ILR) and sum log-ratio (SLR) link functions, and visualizing results. The package enables aggregation and analysis of interval-valued response data commonly found in psychological measurement and related disciplines. Based on Kloft et al. (2024) <doi:10.31234/osf.io/dzvw2>.

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