Identity by Descent (IBD) distributions in pedigrees. A Hidden Markov Model is used to compute identity coefficients, simulate IBD segments and to derive the distribution of total IBD sharing and segment count across chromosomes. The methods are applied in Kruijver (2025) <doi:10.3390/genes16050492>. The probability that the total IBD sharing is zero can be computed using the method of Donnelly (1983) <doi:10.1016/0040-5809(83)90004-7>.

Insurance datasets, which are often used in claims severity and claims frequency modelling. It helps testing new regression models in those problems, such as GLM, GLMM, HGLM, non-linear mixed models etc. Most of the data sets are applied in the project "Mixed models in ratemaking" supported by grant NN 111461540 from Polish National Science Center.

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

The development of ISM was made by Warfield in 1974. ISM is the process of collaborating distinct or related essentials into a simplified and an organized format. Hence, ISM is a methodology that seeks the interrelationships among the various elements considered and endows with a hierarchical and multilevel structure. To run this package user needs to provide a matrix (VAXO) converted into 0's and 1's. Warfield,J.N. (1974) <doi:10.1109/TSMC.1974.5408524> Warfield,J.N. (1974, E-ISSN:2168-2909).

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.

Calculate various information criteria in literature for "lm" and "glm" objects.

When you want to install R package or download file from GitHub, but you can't access GitHub, this package helps you install R packages or download file from GitHub via the proxy website <https://gh-proxy.com/> or <https://ghfast.top/>, which is in real-time sync with GitHub.

Helper functions and example data sets to facilitate the estimation of IRTree models from data with different shape and using different software.

This package provides a professional R interface to download and analyze spatial development indicators from the BBSR INKAR (Indicators and Maps for Spatial and Urban Development) database. Features a bilingual interactive wizard, fuzzy and normalized indicator search, multi-indicator downloads with automatic tidy merging (long/wide), guaranteed consistent output schema, robust disk caching with automatic retry, and ggplot2 themes for regional mapping.

An offline suite of tools to clean, aggregate, and harmonise data from the Malawi Integrated Household Survey ('IHS'), covering rounds two through six (2004 to 2025). Provides crop-specific unit conversions, stratified winsorization, consumer-price deflation, and automatic cross-round harmonisation for complex survey designs.

This package contains a series of R functions for calculating various chance-corrected agreement coefficients (CAC) among 2 or more raters. Among the CAC coefficients covered are Cohen's kappa, Conger's kappa, Fleiss kappa, Brennan-Prediger coefficient, Gwet's AC1/AC2 coefficients, and Krippendorff's alpha. Multiple sets of weights are proposed for computing weighted analyses. Also included in this package is Bangdiwala's B coefficient.

This package contains data frames and functions used in the book "An Introduction to Acceptance Sampling and SPC with R". This book is available electronically at <https://bookdown.org/>. A physical copy will be published by CRC Press.

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.

This package provides tools to scrape, clean, and analyze football player data from Indonesian leagues and perform similarity-based scouting analysis using standardized numeric features. The similarity approach follows common vector-space methods as described in Manning et al. (2008, ISBN:9780521865715) and Salton et al. (1975, <doi:10.1145/361219.361220>).

An implementation of the MaxLFQ algorithm by Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive pipeline for processing proteomics data in data-independent acquisition mode (Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>; Pham et al. 2026 <doi:10.1021/acs.jproteome.5c01038>). It offers additional options for protein quantification using the N most intense fragment ions, using all fragment ions, the median polish algorithm by Tukey (1977, ISBN:0201076160), and a robust linear model. In general, the tool can be used to integrate multiple proportional observations into a single quantitative value.

This package provides a collection of analytical tools for insect ecology research, currently covering age-stage, two-sex life table analysis, dose-response bioassays, temperature-dependent development and insect phenology prediction. The life table module follows the age-stage, two-sex life table theory of Chi (1988) <doi:10.1093/ee/17.1.26> and Chi et al. (2020) <doi:10.1127/entomologia/2020/0936>. It supports fast batch processing of multi-group datasets, validates raw csv data, computes cohort size, mean fecundity, age-stage survival rates, age-specific survival, age-specific fecundity, life expectancy, and derived population parameters (net reproductive rate, intrinsic and finite rates of increase, mean generation time), simultaneously generates age-stage survival curves for all groups, and exports all tabular results and plots to Excel in a single run. The bioassay module estimates lethal concentrations by the traditional and the weighted (improved) linear regression methods and by probit analysis (Bliss, 1934) <doi:10.1126/science.79.2037.38>, with the control-mortality correction of Abbott (1925) <doi:10.1093/jee/18.2.265a>, 95% confidence intervals and chi-square goodness-of-fit tests; the lethal proportion can be set freely (e.g., 25%, 50%, 70% or 90%), so any LC value such as the LC25, LC70 or LC90 can be computed, not only the LC50. The regression plots and tables are exported to Excel'. The degree-day module estimates the developmental threshold temperature and the effective accumulated temperature by the linear degree-day method (Campbell et al., 1974) <doi:10.2307/2402197>, and fits the common nonlinear temperature- dependent development models following Logan et al. (1976) <doi:10.1093/ee/5.6.1133> (Logan-6), Lactin et al. (1995) <doi:10.1093/ee/24.1.68> and Briere et al. (1999) <doi:10.1093/ee/28.1.22>, plus a 7-parameter Wang model; it selects the best model by AICc, predicts durations and accumulates field degree-days. The emergence module applies the stage-grading method to a single survey of the population stage structure, i.e. to stage-frequency data (Kiritani and Nakasuji, 1967) <doi:10.1007/bf02514921> and Manly (1974) <doi:10.1007/bf00345751>, and projects the beginning, peak and end of the adult emergence period (the 16%, 50% and 84% quantiles), optionally shifting the eclosion dates by the pre-oviposition period and the egg duration to forecast larval hatch. Further extensions, such as median lethal temperature/time (LT50), are planned.

For a single variable, the IVY Plot stacks tied values in the form of leaflets. Five leaflets join to form a leaf. Leaves are stacked vertically. At most twenty leaves are shown; For high frequency, each leaflet may represent more than one observation with multiplicity declared in the subtitle.

The Indian Alien Flora Information (ILORA) database contains 14 invasion-relevant variables for 1388 alien plant species in India. The package enables exploration of the database using user-defined criteria. Using this package, users can retrieve variable-specific and species-level data from the database. The package also supports exploratory data analysis and visualization to give users an idea of the variables of interest. Further details about the database are available at <https://iloradb.wixsite.com/alienflora>.

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.

This package provides an interface to the Instagram API <https://instagram.com/ developer/>, which allows R users to download public pictures filtered by hashtag, popularity, user or location, and to access public users profile data.

Calculates irrigation water quality ratios and has functions that could be used to plot several popular diagrams for irrigation water quality classification.

This package provides classes and functions for metrics calculation as part of the EarthScope MUSTANG project. The functionality in this package builds upon the base classes of the IRISSeismic package. Metrics include basic statistics as well as higher level health metrics that can help identify problematic seismometers.

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.

Computes bilateral and multilateral index numbers. It has support for many standard bilateral indexes as well as multilateral index number methods such as GEKS, GEKS-Tornqvist (or CCDI), Geary-Khamis and the weighted time product dummy (for details on these methods see Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>). It also supports updating of multilateral indexes using several splicing methods.