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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-intcal 0.3.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IntCal
Licenses: GPL 2+
Build system: r
Synopsis: Radiocarbon Calibration Curves
Description:

The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided here in a single data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves. Also provided are functions to copy the curves into memory, and to plot the curves and their underlying data, as well as functions to calibrate radiocarbon dates.

r-ionet 0.2.2
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/Carol-seven/ionet
Licenses: GPL 3+
Build system: r
Synopsis: Network Analysis for Input-Output Tables
Description:

Network functionalities specialized for data generated from input-output tables.

r-ic10 2.0.2
Propagated dependencies: r-pamr@1.57 r-impute@1.84.0 r-ic10trainingdata@2.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iC10
Licenses: GPL 3
Build system: r
Synopsis: Copy Number and Expression-Based Classifier for Breast Tumours
Description:

Implementation of the classifier described in the paper Ali HR et al (2014) <doi:10.1186/s13059-014-0431-1>. It uses copy number and/or expression form breast cancer data, trains a Tibshirani's pamr classifier with the features available and predicts the iC10 group.

r-ibmpopsim 1.1.0
Propagated dependencies: r-rlang@1.1.6 r-readr@2.1.6 r-rcpp@1.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/DaphneGiorgi/IBMPopSim
Licenses: Expat
Build system: r
Synopsis: Individual Based Model Population Simulation
Description:

Simulation of the random evolution of heterogeneous populations using stochastic Individual-Based Models (IBMs) <doi:10.48550/arXiv.2303.06183>. The package enables users to simulate population evolution, in which individuals are characterized by their age and some characteristics, and the population is modified by different types of events, including births/arrivals, death/exit events, or changes of characteristics. The frequency at which an event can occur to an individual can depend on their age and characteristics, but also on the characteristics of other individuals (interactions). Such models have a wide range of applications. For instance, IBMs can be used for simulating the evolution of a heterogeneous insurance portfolio with selection or for validating mortality forecasts. This package overcomes the limitations of time-consuming IBMs simulations by implementing new efficient algorithms based on thinning methods, which are compiled using the Rcpp package while providing a user-friendly interface.

r-icamp 1.5.12
Propagated dependencies: r-vegan@2.7-2 r-permute@0.9-8 r-nortest@1.0-4 r-minpack-lm@1.2-4 r-hmisc@5.2-4 r-dirichletreg@0.7-2 r-data-table@1.17.8 r-bigmemory@4.6.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/DaliangNing/iCAMP1
Licenses: GPL 2
Build system: r
Synopsis: Infer Community Assembly Mechanisms by Phylogenetic-Bin-Based Null Model Analysis
Description:

To implement a general framework to quantitatively infer Community Assembly Mechanisms by Phylogenetic-bin-based null model analysis, abbreviated as iCAMP (Ning et al 2020) <doi:10.1038/s41467-020-18560-z>. It can quantitatively assess the relative importance of different community assembly processes, such as selection, dispersal, and drift, for both communities and each phylogenetic group ('bin'). Each bin usually consists of different taxa from a family or an order. The package also provides functions to implement some other published methods, including neutral taxa percentage (Burns et al 2016) <doi:10.1038/ismej.2015.142> based on neutral theory model and quantifying assembly processes based on entire-community null models ('QPEN', Stegen et al 2013) <doi:10.1038/ismej.2013.93>. It also includes some handy functions, particularly for big datasets, such as phylogenetic and taxonomic null model analysis at both community and bin levels, between-taxa niche difference and phylogenetic distance calculation, phylogenetic signal test within phylogenetic groups, midpoint root of big trees, etc. Version 1.3.x mainly improved the function for QPEN and added function icamp.cate() to summarize iCAMP results for different categories of taxa (e.g. core versus rare taxa).

r-isetools 3.2.1
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISEtools
Licenses: GPL 2
Build system: r
Synopsis: Ion Selective Electrodes Analysis Methods
Description:

Characterisation and calibration of single or multiple Ion Selective Electrodes (ISEs); activity estimation of experimental samples. Implements methods described in: Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and McGraw, C.M. (2012) <doi:10.1002/elan.201100510>, Dillingham, P.W., Alsaedi, B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>, Dillingham, P.W., Alsaedi, B.S.O., Radu, A., and McGraw, C.M. (2019) <doi:10.3390/s19204544>, and Dillingham, P.W., Alsaedi, B.S.O., Granados-Focil, S., Radu, A., and McGraw, C.M. (2020) <doi:10.1021/acssensors.9b02133>.

r-itos 1.0.3
Propagated dependencies: r-xtable@1.8-4 r-rcbalance@1.8.8 r-mass@7.3-65 r-biasedurn@2.0.12
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iTOS
Licenses: GPL 2
Build system: r
Synopsis: Methods and Examples from Introduction to the Theory of Observational Studies
Description:

Supplements for a book, "iTOS" = "Introduction to the Theory of Observational Studies." Data sets are aHDL from Rosenbaum (2023a) <doi:10.1111/biom.13558> and bingeM from Rosenbaum (2023b) <doi:10.1111/biom.13921>. The function makematch() uses two-criteria matching from Zhang et al. (2023) <doi:10.1080/01621459.2021.1981337> to create the matched data bingeM from binge'. The makematch() function also implements optimal matching (Rosenbaum (1989) <doi:10.2307/2290079>) and matching with fine or near-fine balance (Rosenbaum et al. (2007) <doi:10.1198/016214506000001059> and Yang et al (2012) <doi:10.1111/j.1541-0420.2011.01691.x>). The book makes use of two other R packages, weightedRank and tightenBlock'.

r-integratebs 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IntegrateBs
Licenses: GPL 2
Build system: r
Synopsis: Integration for B-Spline
Description:

Integrated B-spline function.

r-imputerobust 1.3-1
Propagated dependencies: r-purrr@1.2.0 r-mice@3.18.0 r-lattice@0.22-7 r-gamlss-dist@6.1-1 r-gamlss@5.5-0 r-extremevalues@2.4.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ImputeRobust
Licenses: GPL 3
Build system: r
Synopsis: Robust Multiple Imputation with Generalized Additive Models for Location Scale and Shape
Description:

This package provides new imputation methods for the mice package based on generalized additive models for location, scale, and shape (GAMLSS) as described in de Jong, van Buuren and Spiess <doi:10.1080/03610918.2014.911894>.

r-ilsm 1.1.0.1
Propagated dependencies: r-vegan@2.7-2 r-plot-matrix@1.6.2 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/WeichengSun/ILSM
Licenses: Expat
Build system: r
Synopsis: Analyze Interconnection Structure of Tripartite Interaction Networks
Description:

In view of the analysis of the structural characteristics of the tripartite network has been complete, however, there is still a lack of a unified operation that can quickly obtain the corresponding characteristics of the tripartite network. To solve this insufficiency, ILSM was designed for supporting calculating such metrics of tripartite networks by functions of this R package.

r-icd10gm 1.2.5
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringi@1.8.7 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://edonnachie.github.io/ICD10gm/
Licenses: Expat
Build system: r
Synopsis: Metadata Processing for the German Modification of the ICD-10 Coding System
Description:

This package provides convenient access to the German modification of the International Classification of Diagnoses, 10th revision (ICD-10-GM). It provides functionality to aid in the identification, specification and historisation of ICD-10 codes. Its intended use is the analysis of routinely collected data in the context of epidemiology, medical research and health services research. The underlying metadata are released by the German Institute for Medical Documentation and Information <https://www.dimdi.de>, and are redistributed in accordance with their license.

r-interpretmsspectrum 1.5.2
Propagated dependencies: r-plyr@1.8.9 r-envipat@2.8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/janlisec/InterpretMSSpectrum
Licenses: GPL 3
Build system: r
Synopsis: Interpreting High Resolution Mass Spectra
Description:

High resolution mass spectrometry yields often large data sets of spectra from compounds which are not present in available libraries. These spectra need to be annotated and interpreted. InterpretMSSpectrum provides a set of functions to perform such tasks for Electrospray-Ionization and Atmospheric-Pressure-Chemical-Ionization derived data in positive and negative ionization mode.

r-image-libfacedetection 0.1.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/bnosac/image
Licenses: Modified BSD
Build system: r
Synopsis: Convolutional Neural Network for Face Detection
Description:

An open source library for face detection in images. Provides a pretrained convolutional neural network based on <https://github.com/ShiqiYu/libfacedetection> which can be used to detect faces which have size greater than 10x10 pixels.

r-iatscore 0.2.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IATScore
Licenses: Expat
Build system: r
Synopsis: Scoring Algorithm for the Implicit Association Test (IAT)
Description:

This minimalist package is designed to quickly score raw data outputted from an Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998) <doi:10.1037/0022-3514.74.6.1464>. IAT scores are calculated as specified by Greenwald, Nosek, and Banaji (2003) <doi:10.1037/0022-3514.85.2.197>. Outputted values can be interpreted as effect sizes. The input function consists of three arguments. First, indicate the name of the dataset to be analyzed. This is the only required input. Second, indicate the number of trials in your entire IAT (the default is set to 219, which is typical for most IATs). Last, indicate whether congruent trials (e.g., flowers and pleasant) or incongruent trials (e.g., guns and pleasant) were presented first for this participant (the default is set to congruent). The script will tell you how long it took to run the code, the effect size for the participant, and whether that participant should be excluded based on the criteria outlined by Greenwald et al. (2003). Data files should consist of six columns organized in order as follows: Block (0-6), trial (0-19 for training blocks, 0-39 for test blocks), category (dependent on your IAT), the type of item within that category (dependent on your IAT), a dummy variable indicating whether the participant was correct or incorrect on that trial (0=correct, 1=incorrect), and the participantâ s reaction time (in milliseconds). Three sample datasets are included in this package (labeled IAT', TooFastIAT', and BriefIAT') to practice with.

r-ibcf-mtme 1.6-0
Propagated dependencies: r-tidyr@1.3.1 r-lsa@0.73.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/frahik/IBCF.MTME
Licenses: LGPL 3
Build system: r
Synopsis: Item Based Collaborative Filtering for Multi-Trait and Multi-Environment Data
Description:

This package implements the item based collaborative filtering (IBCF) method for continues phenotypes in the context of plant breeding where data are collected for various traits that were studied in various environments proposed by Montesinos-López et al. (2017) <doi:10.1534/g3.117.300309>.

r-isowater 1.2.1
Propagated dependencies: r-r2winbugs@2.1-23 r-r2jags@0.8-9 r-jsonlite@2.0.0 r-httr@1.4.7 r-foreach@1.5.2 r-doparallel@1.0.17 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=isoWater
Licenses: GPL 3
Build system: r
Synopsis: Discovery, Retrieval, and Analysis of Water Isotope Data
Description:

The wiDB...() functions provide an interface to the public API of the wiDB <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build, check and submit queries, and receive and unpack responses. Data analysis functions support Bayesian inference of the source and source isotope composition of water samples that may have experienced evaporation. Algorithms adapted from Bowen et al. (2018, <doi:10.1007/s00442-018-4192-5>).

r-invstableprior 0.1.1
Propagated dependencies: r-nimble@1.4.0 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-idcnrba 1.1.0
Propagated dependencies: r-tibble@3.3.0 r-survey@4.4-8 r-srvyr@1.3.1 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rmarkdown@2.30 r-readr@2.1.6 r-openxlsx@4.2.8.1 r-nrba@0.3.1 r-miniui@0.1.2 r-markdown@2.0 r-htmlwidgets@1.6.4 r-haven@2.5.5 r-flexdashboard@0.6.2 r-dt@0.34.0 r-dplyr@1.1.4 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=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-igraphdata 1.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: http://igraph.org
Licenses: FSDG-compatible
Build system: r
Synopsis: Collection of Network Data Sets for the 'igraph' Package
Description:

This package provides a small collection of various network data sets, to use with the igraph package: the Enron email network, various food webs, interactions in the immunoglobulin protein, the karate club network, Koenigsberg's bridges, visuotactile brain areas of the macaque monkey, UK faculty friendship network, domestic US flights network, etc.

r-iglu 4.2.2
Propagated dependencies: r-zoo@1.8-14 r-tidyr@1.3.1 r-tibble@3.3.0 r-shiny@1.11.1 r-scales@1.4.0 r-plotly@4.11.0 r-pheatmap@1.0.13 r-patchwork@1.3.2 r-magrittr@2.0.4 r-lubridate@1.9.4 r-hms@1.1.4 r-gtable@0.3.6 r-gridextra@2.3 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-catools@1.18.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://irinagain.github.io/iglu/
Licenses: GPL 2
Build system: r
Synopsis: Interpreting Glucose Data from Continuous Glucose Monitors
Description:

This package implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.

r-iis 1.1
Propagated dependencies: r-rfit@0.27.0 r-nsm3@1.20 r-hmisc@5.2-4 r-bsda@1.2.2 r-asbio@1.12-2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IIS
Licenses: GPL 2
Build system: r
Synopsis: Datasets to Accompany Wolfe and Schneider - Intuitive Introductory Statistics
Description:

These datasets and functions accompany Wolfe and Schneider (2017) - Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0) <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout the text and in the end-of-chapter exercises. The datasets are meant to cover a broad range of topics in order to appeal to the diverse set of interests and backgrounds typically present in an introductory Statistics class.

r-isca 0.1.0
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-plyr@1.8.9 r-magrittr@2.0.4 r-hmisc@5.2-4 r-e1071@1.7-16 r-dplyr@1.1.4 r-data-table@1.17.8 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ISCA
Licenses: GPL 3+
Build system: r
Synopsis: Compare Heterogeneous Social Groups
Description:

The Inductive Subgroup Comparison Approach ('ISCA') offers a way to compare groups that are internally differentiated and heterogeneous. It starts by identifying the social structure of a reference group against which a minority or another group is to be compared, yielding empirical subgroups to which minority members are then matched based on how similar they are. The modelling of specific outcomes then occurs within specific subgroups in which majority and minority members are matched. ISCA is characterized by its data-driven, probabilistic, and iterative approach and combines fuzzy clustering, Monte Carlo simulation, and regression analysis. ISCA_random_assignments() assigns subjects probabilistically to subgroups. ISCA_clustertable() provides summary statistics of each cluster across iterations. ISCA_modeling() provides Ordinary Least Squares regression results for each cluster across iterations. For further details please see Drouhot (2021) <doi:10.1086/712804>.

r-impshrinkage 1.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/mnrzrad/ImpShrinkage
Licenses: GPL 2+
Build system: r
Synopsis: Improved Shrinkage Estimations for Multiple Linear Regression
Description:

This package provides a variety of improved shrinkage estimators in the area of statistical analysis: unrestricted; restricted; preliminary test; improved preliminary test; Stein; and positive-rule Stein. More details can be found in chapter 7 of Saleh, A. K. Md. E. (2006) <ISBN: 978-0-471-56375-4>.

r-ie2misc 0.9.2
Propagated dependencies: r-stringi@1.8.7 r-readxl@1.4.5 r-reader@1.0.6 r-openxlsx@4.2.8.1 r-mgsub@1.7.3 r-lubridate@1.9.4 r-gwidgets2@1.0-10 r-data-table@1.17.8 r-checkmate@2.3.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://gitlab.com/iembry/ie2misc
Licenses: CC0
Build system: r
Synopsis: Irucka Embry's Miscellaneous USGS Functions
Description:

This package provides a collection of Irucka Embry's miscellaneous USGS functions (processing .exp and .psf files, statistical error functions, "+" dyadic operator for use with NA, creating ADAPS and QW spreadsheet files, calculating saturated enthalpy). Irucka created these functions while a Cherokee Nation Technology Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or USGS employee.

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Total results: 68658