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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-iapws95 1.2.5
Propagated dependencies: r-rcpp@1.1.0 r-pander@0.6.6 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=IAPWS95
Licenses: Expat
Build system: r
Synopsis: Thermophysical Properties of Water and Steam
Description:

An implementation of the International Association for the Properties of Water (IAPWS) Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for General and Scientific Use and on the releases for viscosity, conductivity, surface tension and melting pressure.

r-ihsep 0.3.1
Propagated dependencies: r-rcpp@1.1.0 r-lpint@2.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IHSEP
Licenses: GPL 2+
Build system: r
Synopsis: Inhomogeneous Self-Exciting Process
Description:

Simulate an inhomogeneous self-exciting process (IHSEP), or Hawkes process, with a given (possibly time-varying) baseline intensity and an excitation function. Calculate the likelihood of an IHSEP with given baseline intensity and excitation functions for an (increasing) sequence of event times. Calculate the point process residuals (integral transforms of the original event times). Calculate the mean intensity process.

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-install-load 1.2.5
Propagated dependencies: r-fastmatch@1.1-6 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/install.load
Licenses: CC-BY-SA 4.0 GPL 3 FSDG-compatible
Build system: r
Synopsis: Check, Install and Load CRAN Packages
Description:

The function install_load checks the local R library(ies) to see if the required package(s) is/are installed or not. If the package(s) is/are not installed, then the package(s) will be installed along with the required dependency(ies). This function pulls source or binary packages from the Posit/RStudio-sponsored CRAN mirror. Lastly, the chosen package(s) is/are loaded. The function load_package simply loads the provided package(s). If this package does not fit your needs, then you may want to consider these other R packages: needs', easypackages', pacman', pak', anyLib', and/or librarian'.

r-influxdbr 0.14.2
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/dleutnant/influxdbr
Licenses: GPL 3
Build system: r
Synopsis: R Interface to InfluxDB
Description:

An R interface to the InfluxDB time series database <https://www.influxdata.com>. This package allows you to fetch and write time series data from/to an InfluxDB server. Additionally, handy wrappers for the Influx Query Language (IQL) to manage and explore a remote database are provided.

r-imediate 0.5.5
Propagated dependencies: r-plotly@4.11.0 r-mvtnorm@1.3-3 r-mbess@4.9.41
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=iMediate
Licenses: GPL 2+
Build system: r
Synopsis: Likelihood Methods for Mediation Analysis
Description:

This package implements likelihood based methods for mediation analysis.

r-issuetracker 1.3.1
Propagated dependencies: r-yaml@2.3.10 r-gh@1.5.0 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/TanguyBarthelemy/IssueTrackeR
Licenses: Expat
Build system: r
Synopsis: List Things to Do
Description:

Manage a GitHub problem using R: wrangle issues, labels and milestones. It includes functions for storing, prioritizing (sorting), displaying, adding, deleting, and selecting (filtering) issues based on qualitative and quantitative information. Issues (labels and milestones) are written in lists and categorized into the S3 class to be easily manipulated as datasets in R.

r-imml 0.1.5
Propagated dependencies: r-rpart@4.1.24 r-rlang@1.1.6 r-randomforest@4.7-1.2 r-ggplot2@4.0.1 r-e1071@1.7-16 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=ImML
Licenses: GPL 3
Build system: r
Synopsis: Machine Learning Algorithms Fitting and Validation for Forestry
Description:

Fitting and validation of machine learning algorithms for volume prediction of trees, currently for conifer trees based on diameter at breast height and height as explanatory variables.

r-inlpubs 1.3.0
Dependencies: pandoc@2.19.2 optipng@0.7.7 libxml2@2.14.6
Propagated dependencies: r-tm@0.7-16 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/inlpubs-main/
Licenses: CC0
Build system: r
Synopsis: USGS INL Project Office Publications
Description:

This package contains bibliographic information for the U.S. Geological Survey (USGS) Idaho National Laboratory (INL) Project Office.

r-impermanentlosscalc 0.1.0
Propagated dependencies: 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=impermanentlosscalc
Licenses: GPL 3
Build system: r
Synopsis: Calculate Impermanent Loss in Automated Market Maker (AMM) Liquidity Pools
Description:

Computes the key metrics for assessing the performance of a liquidity provider (LP) position in a weighted multi-asset Automated Market Maker (AMM) pool. Calculates the nominal and percentage impermanent loss (IL) by comparing the portfolio value inside the pool (based on the weighted geometric mean of price ratios) against the value of simply holding the assets outside the pool (based on the weighted arithmetic mean). The primary function, `impermanent_loss()`, incorporates the effect of earned trading fees to provide the LP's net profit and loss relative to a holding strategy, using a methodology derived from Tiruviluamala, N., Port, A., and Lewis, E. (2022) <doi:10.48550/arXiv.2203.11352>.

r-internl 0.1.0
Propagated dependencies: r-mlmetrics@1.1.3 r-forecast@8.24.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=InterNL
Licenses: GPL 3
Build system: r
Synopsis: Time Series Intervention Model Using Non-Linear Function
Description:

Intervention analysis is used to investigate structural changes in data resulting from external events. Traditional time series intervention models, viz. Autoregressive Integrated Moving Average model with exogeneous variables (ARIMA-X) and Artificial Neural Networks with exogeneous variables (ANN-X), rely on linear intervention functions such as step or ramp functions, or their combinations. In this package, the Gompertz, Logistic, Monomolecular, Richard and Hoerl function have been used as non-linear intervention function. The equation of the above models are represented as: Gompertz: A * exp(-B * exp(-k * t)); Logistic: K / (1 + ((K - N0) / N0) * exp(-r * t)); Monomolecular: A * exp(-k * t); Richard: A + (K - A) / (1 + exp(-B * (C - t)))^(1/beta) and Hoerl: a*(b^t)*(t^c).This package introduced algorithm for time series intervention analysis employing ARIMA and ANN models with a non-linear intervention function. This package has been developed using algorithm of Yeasin et al. <doi:10.1016/j.hazadv.2023.100325> and Paul and Yeasin <doi:10.1371/journal.pone.0272999>.

r-imgrec 0.1.4
Propagated dependencies: r-rlang@1.1.6 r-knitr@1.50 r-jsonlite@2.0.0 r-httr@1.4.7 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://github.com/cschwem2er/imgrec
Licenses: Expat
Build system: r
Synopsis: An Interface for Image Recognition
Description:

This package provides an interface for image recognition using the Google Vision API <https://cloud.google.com/vision/> . Converts API data for features such as object detection and optical character recognition to data frames. The package also includes functions for analyzing image annotations.

r-icpack 0.1.0
Propagated dependencies: r-survival@3.8-3 r-rlang@1.1.6 r-reshape2@1.4.5 r-matrixstats@1.5.0 r-gridextra@2.3 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://cran.r-project.org/package=icpack
Licenses: GPL 2+
Build system: r
Synopsis: Survival Analysis of Interval-Censored Data
Description:

Survival analysis of interval-censored data with proportional hazards, and an explicit smooth estimate of the baseline log-hazard with P-splines.

r-igr 1.0.1
Propagated dependencies: r-sf@1.0-23
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/digitalnature-ie/igr
Licenses: GPL 3+
Build system: r
Synopsis: Irish Grid Reference Utilities
Description:

Convert between Irish grid references and Irish Grid coordinates. Irish grid references can also be converted to or from an sf object in any coordinate reference system. Precisions from 1 m to 100 km including 2 km (tetrads) are supported, as are datasets with mixed precision. Conversion to sf polygons is precision-aware.

r-ideafilter 0.2.1
Propagated dependencies: r-shinytime@1.0.3 r-shiny@1.11.1 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-pillar@1.11.1 r-ggplot2@4.0.1 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://biogen-inc.github.io/IDEAFilter/
Licenses: Expat
Build system: r
Synopsis: Agnostic, Idiomatic Data Filter Module for Shiny
Description:

When added to an existing shiny app, users may subset any developer-chosen R data.frame on the fly. That is, users are empowered to slice & dice data by applying multiple (order specific) filters using the AND (&) operator between each, and getting real-time updates on the number of rows effected/available along the way. Thus, any downstream processes that leverage this data source (like tables, plots, or statistical procedures) will re-render after new filters are applied. The shiny moduleâ s user interface has a minimalist aesthetic so that the focus can be on the data & other visuals. In addition to returning a reactive (filtered) data.frame, IDEAFilter as also returns dplyr filter statements used to actually slice the data.

r-idx2r 1.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/edoffagne/idx2r
Licenses: Expat
Build system: r
Synopsis: Convert Files to and from IDX Format to Vectors, Matrices and Arrays
Description:

Convert files to and from IDX format to vectors, matrices and arrays. IDX is a very simple file format designed for storing vectors and multidimensional matrices in binary format. The format is described on the website from Yann LeCun <http://yann.lecun.com/exdb/mnist/>.

r-idefix 1.1.0
Propagated dependencies: r-tmvtnorm@1.7 r-tablehtml@2.1.3 r-shinyjs@2.1.0 r-shiny@1.11.1 r-scales@1.4.0 r-rdpack@2.6.4 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65 r-dplyr@1.1.4 r-dfidx@0.2-0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/traets/idefix
Licenses: GPL 3
Build system: r
Synopsis: Efficient Designs for Discrete Choice Experiments
Description:

Generates efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted designs for the mixed multinomial logit model. The generated designs can be presented on screen and choice data can be gathered using a shiny application. Traets F, Sanchez G, and Vandebroek M (2020) <doi:10.18637/jss.v096.i03>.

r-inctools 1.0.15
Propagated dependencies: r-tmvtnorm@1.7 r-tibble@3.3.0 r-rlang@1.1.6 r-pracma@2.4.6 r-plyr@1.8.9 r-magrittr@2.0.4 r-glm2@1.2.1 r-ggplot2@4.0.1 r-foreach@1.5.2 r-dplyr@1.1.4 r-doparallel@1.0.17 r-cubature@2.1.4-1 r-binom@1.1-1.1
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-imsig 1.1.3
Propagated dependencies: r-survival@3.8-3 r-rcolorbrewer@1.1-3 r-igraph@2.2.1 r-hiclimr@2.2.1 r-gridextra@2.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://github.com/ajitjohnson/imsig/
Licenses: GPL 3
Build system: r
Synopsis: Immune Cell Gene Signatures for Profiling the Microenvironment of Solid Tumours
Description:

Estimate the relative abundance of tissue-infiltrating immune subpopulations abundances using gene expression data.

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-ivreg 0.6-6
Propagated dependencies: r-mass@7.3-65 r-lmtest@0.9-40 r-formula@1.2-5 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://zeileis.github.io/ivreg/
Licenses: GPL 2+
Build system: r
Synopsis: Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Description:

Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.

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-isosurv 0.3.0
Propagated dependencies: r-survival@3.8-3 r-iso@0.0-21
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=isoSurv
Licenses: GPL 2+
Build system: r
Synopsis: Isotonic Regression on Survival Analysis
Description:

Nonparametric estimation on survival analysis under order-restrictions.

r-isomemo 23.10.1
Propagated dependencies: r-modules@0.13.0 r-jsonlite@2.0.0 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/i.scm (guix-cran packages i)
Home page: https://cran.r-project.org/package=IsoMemo
Licenses: GPL 3+
Build system: r
Synopsis: Retrieve Data using the 'IsoMemo' API
Description:

API wrapper that contains functions to retrieve data from the IsoMemo partnership databases. Web services for API: <https://isomemodb.com/api/v1/iso-data>.

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