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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-ipw 1.3.0
Propagated dependencies: r-survival@3.8-3 r-nnet@7.3-20 r-mass@7.3-65 r-geepack@1.3.13
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/TranHung93/ipw
Licenses: Expat
Build system: r
Synopsis: Estimate Inverse Probability Weights
Description:

This package provides functions to estimate the probability to receive the observed treatment, based on individual characteristics. The inverse of these probabilities can be used as weights when estimating causal effects from observational data via marginal structural models. Both point treatment situations and longitudinal studies can be analysed. The same functions can be used to correct for informative censoring.

r-icesdatras 1.4.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://datras.ices.dk/WebServices/Webservices.aspx
Licenses: GPL 2+
Build system: r
Synopsis: DATRAS Trawl Survey Database Web Services
Description:

R interface to access the web services of the ICES (International Council for the Exploration of the Sea) DATRAS trawl survey database <https://datras.ices.dk/WebServices/Webservices.aspx>.

r-isard 0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=isard
Licenses: GPL 2
Build system: r
Synopsis: Overflow Data for Quantitative Peace Science Research
Description:

These are data and functions to support quantitative peace science research. The data are important state-year information on democracy and wealth, which require periodic updates and regular maintenance. The functions permit some exploratory and diagnostic assessment of the kinds of data in demand by the community, but do not impose many dependencies on the user.

r-inshiny 0.1.2
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/nicholasdavies/inshiny
Licenses: Expat
Build system: r
Synopsis: Compact Inline Widgets for 'shiny' Apps
Description:

This package provides a basic set of compact widgets for shiny apps which occupy less space and can appear inline with surrounding text.

r-iatscores 0.2.8
Propagated dependencies: r-stringr@1.6.0 r-reshape2@1.4.5 r-qgraph@1.9.8 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=IATscores
Licenses: GPL 2
Build system: r
Synopsis: Implicit Association Test Scores Using Robust Statistics
Description:

Compute several variations of the Implicit Association Test (IAT) scores, including the D scores (Greenwald, Nosek, Banaji, 2003, <doi:10.1037/0022-3514.85.2.197>) and the new scores that were developed using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt, 2015, <doi:10.1371/journal.pone.0129601>).

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-incubate 1.3.0
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-inposition 1.0.0
Propagated dependencies: r-prettygraphs@2.2.0 r-exposition@2.11.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InPosition
Licenses: GPL 2
Build system: r
Synopsis: Inference Tests for ExPosition
Description:

Non-parametric resampling-based inference tests for ExPosition.

r-inplace 0.1.2
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/privefl/inplace
Licenses: GPL 3
Build system: r
Synopsis: In-place Operators for R
Description:

It provides in-place operators for R that are equivalent to +=', -=', *=', /= in C++. Those can be applied on integer|double vectors|matrices. You have also access to sweep operations (in-place).

r-ivcor 0.1.0
Propagated dependencies: r-quantreg@6.1 r-quantdr@1.3.2 r-bwquant@0.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IVCor
Licenses: GPL 3
Build system: r
Synopsis: Robust Integrated Variance Correlation
Description:

This package provides a integrated variance correlation is proposed to measure the dependence between a categorical or continuous random variable and a continuous random variable or vector. This package is designed to estimate the new correlation coefficient with parametric and nonparametric approaches. Test of independence for different problems can also be implemented via the new correlation coefficient with this package.

r-ifs 0.1.10
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ifs
Licenses: GPL 2+
Build system: r
Synopsis: Iterated Function Systems
Description:

Iterated Function Systems Estimator as in Iacus and La Torre (2005) <doi:10.1155/JAMDS.2005.33>.

r-inspectdf 0.0.12.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://alastairrushworth.github.io/inspectdf/
Licenses: GPL 2
Build system: r
Synopsis: Inspection, Comparison and Visualisation of Data Frames
Description:

This package provides a collection of utilities for columnwise summary, comparison and visualisation of data frames. Functions report missingness, categorical levels, numeric distribution, correlation, column types and memory usage.

r-isodistrreg 0.1.0
Propagated dependencies: r-rcpp@1.1.0 r-osqp@0.6.3.3 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/AlexanderHenzi/isodistrreg
Licenses: GPL 2+
Build system: r
Synopsis: Isotonic Distributional Regression (IDR)
Description:

Distributional regression under stochastic order restrictions for numeric and binary response variables and partially ordered covariates. See Henzi, Ziegel, Gneiting (2020) <arXiv:1909.03725>.

r-ip2proxy 1.2.0
Propagated dependencies: r-scales@1.4.0 r-reticulate@1.44.1 r-maps@3.4.3 r-jsonlite@2.0.0 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=ip2proxy
Licenses: Expat
Build system: r
Synopsis: Lookup for IP Address Proxy Information
Description:

Enable user to find the IP addresses which are used as VPN anonymizer, open proxies, web proxies and Tor exits. The package lookup the proxy IP address from IP2Proxy BIN Data file. You may visit <https://lite.ip2location.com> for free database download.

r-intrinsicfrp 2.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/a91quaini/intrinsicFRP
Licenses: GPL 3+
Build system: r
Synopsis: An R Package for Factor Model Asset Pricing
Description:

This package provides functions for evaluating and testing asset pricing models, including estimation and testing of factor risk premia, selection of "strong" risk factors (factors having nonzero population correlation with test asset returns), heteroskedasticity and autocorrelation robust covariance matrix estimation and testing for model misspecification and identification. The functions for estimating and testing factor risk premia implement the Fama-MachBeth (1973) <doi:10.1086/260061> two-pass approach, the misspecification-robust approaches of Kan-Robotti-Shanken (2013) <doi:10.1111/jofi.12035>, and the approaches based on tradable factor risk premia of Quaini-Trojani-Yuan (2023) <doi:10.2139/ssrn.4574683>. The functions for selecting the "strong" risk factors are based on the Oracle estimator of Quaini-Trojani-Yuan (2023) <doi:10.2139/ssrn.4574683> and the factor screening procedure of Gospodinov-Kan-Robotti (2014) <doi:10.2139/ssrn.2579821>. The functions for evaluating model misspecification implement the HJ model misspecification distance of Kan-Robotti (2008) <doi:10.1016/j.jempfin.2008.03.003>, which is a modification of the prominent Hansen-Jagannathan (1997) <doi:10.1111/j.1540-6261.1997.tb04813.x> distance. The functions for testing model identification specialize the Kleibergen-Paap (2006) <doi:10.1016/j.jeconom.2005.02.011> and the Chen-Fang (2019) <doi:10.1111/j.1540-6261.1997.tb04813.x> rank test to the regression coefficient matrix of test asset returns on risk factors. Finally, the function for heteroskedasticity and autocorrelation robust covariance estimation implements the Newey-West (1994) <doi:10.2307/2297912> covariance estimator.

r-imp 1.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/anup50695/IMPPackage
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Interactive Model Performance Evaluation
Description:

This package contains functions for evaluating & comparing the performance of Binary classification models. Functions can be called either statically or interactively (as Shiny Apps).

r-imagefx 0.4.1
Propagated dependencies: r-signal@1.8-1 r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=imagefx
Licenses: GPL 3
Build system: r
Synopsis: Extract Features from Images
Description:

Synthesize images into characteristic features for time-series analysis or machine learning applications. The package was originally intended for monitoring volcanic eruptions in video data by highlighting and extracting regions above the vent associated with plume activity. However, the functions within are general and have wide applications for image processing, analyzing, filtering, and plotting.

r-interfacer 0.4.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://ai4ci.github.io/interfacer/
Licenses: Expat
Build system: r
Synopsis: Define and Enforce Contracts for Dataframes as Function Parameters
Description:

This package provides a dataframe validation framework for package builders who use dataframes as function parameters. It performs checks on column names, coerces data-types, and checks grouping to make sure user inputs conform to a specification provided by the package author. It provides a mechanism for package authors to automatically document supported dataframe inputs and selectively dispatch to functions depending on the format of a dataframe much like S3 does for classes. It also contains some developer tools to make working with and documenting dataframe specifications easier. It helps package developers to improve their documentation and simplifies parameter validation where dataframes are used as function parameters.

r-ipeadatar 0.1.6
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/gomesleduardo/ipeadatar
Licenses: Expat
Build system: r
Synopsis: API Wrapper for 'Ipeadata'
Description:

Allows direct access to the macroeconomic, financial and regional database maintained by Brazilian Institute for Applied Economic Research ('Ipea'). This R package uses the Ipeadata API. For more information, see <http://www.ipeadata.gov.br/>.

r-iterors 1.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/crowding/iterors
Licenses: GPL 3+
Build system: r
Synopsis: Fast, Compact Iterators and Tools
Description:

This package provides a fresh take on iterators in R. Designed to be cross-compatible with the iterators package, but using the nextOr method will offer better performance as well as more compact code. With batteries included: includes a collection of iterator constructors and combinators ported and refined from the iterators', itertools', and itertools2 packages.

r-interpret 0.1.35
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/interpretml/interpret
Licenses: Expat
Build system: r
Synopsis: Fit Interpretable Machine Learning Models
Description:

Package for training interpretable machine learning models. Historically, the most interpretable machine learning models were not very accurate, and the most accurate models were not very interpretable. Microsoft Research has developed an algorithm called the Explainable Boosting Machine (EBM) which has both high accuracy and interpretable characteristics. EBM uses machine learning techniques like bagging and boosting to breathe new life into traditional GAMs (Generalized Additive Models). This makes them as accurate as random forests and gradient boosted trees, and also enhances their intelligibility and editability. Details on the EBM algorithm can be found in the paper by Rich Caruana, Yin Lou, Johannes Gehrke, Paul Koch, Marc Sturm, and Noemie Elhadad (2015, <doi:10.1145/2783258.2788613>).

r-inctools 1.0.15
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: http://www.incidence-estimation.org/page/inctools
Licenses: GPL 3
Build system: r
Synopsis: Incidence Estimation Tools
Description:

This package provides tools for estimating incidence from biomarker data in cross- sectional surveys, and for calibrating tests for recent infection. Implements and extends the method of Kassanjee et al. (2012) <doi:10.1097/EDE.0b013e3182576c07>.

r-imputets 3.4
Propagated dependencies: r-stinepack@1.5 r-rcpp@1.1.0 r-magrittr@2.0.4 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/SteffenMoritz/imputeTS
Licenses: GPL 3
Build system: r
Synopsis: Time Series Missing Value Imputation
Description:

Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: Mean', LOCF', Interpolation', Moving Average', Seasonal Decomposition', Kalman Smoothing on Structural Time Series models', Kalman Smoothing on ARIMA models'. Published in Moritz and Bartz-Beielstein (2017) <doi:10.32614/RJ-2017-009>.

r-infocausality 1.0
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-sdsfun@0.8.1 r-reticulate@1.44.1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://stscl.github.io/infocausality/
Licenses: GPL 3
Build system: r
Synopsis: Information-Theoretic Measure of Causality
Description:

This package provides methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.

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Total results: 69112