This library allows rendering Scalable Vector Graphics (SVG) graphics directly into a Portable Document Format (PDF) document using the Prawn module.

Simulate the effect of management or demography on allele retention and inbreeding accumulation in bottlenecked populations of animals with overlapping generations.

Contribution table for credit assignment based on ggplot2'. This can improve the author contribution information in academic journals and personal CV.

Geologic pattern data from <https://ngmdb.usgs.gov/fgdc_gds/geolsymstd.php>. Access functions are provided in the accompanying package deeptime'.

Functional magnetic resonance imaging ('fMRI') data from the Kirby21 reproducibility study <doi:10.1016/j.neuroimage.2010.11.047>.

Nonparametric and semiparametric estimations of the time-dependent ROC curve for an incomplete failure time data with surrogate failure time endpoints.

Fits the combination of Wavelet-GARCH model for time series forecasting using algorithm by Paul (2015) <doi:10.3233/MAS-150328>.

Revised^7 Report of the Algorithmic Language Scheme adapted to Texinfo format. This package installs the pdf version of the document.

Defines submission profiles per regulatory authority with authority-specific pillar weights, decision thresholds, indicator requirements, and risk configuration. Supports the U.S. Food and Drug Administration (FDA), European Medicines Agency (EMA), Pharmaceuticals and Medical Devices Agency (PMDA), Health Canada, Therapeutic Goods Administration (TGA), and Medicines and Healthcare products Regulatory Agency (MHRA). Integrates with r4subscore and r4subrisk configuration systems.

This package provides mappings from Entrez gene identifiers to various annotations for the genome of the model worm Caenorhabditis elegans.

This package provides mappings from Entrez gene identifiers to various annotations for the genome of the model mouse Mus musculus.

This package provides tools for determining estimability of linear functions of regression coefficients, and epredict methods that handle non-estimable cases correctly.

This package provides a Ruby wrapper around the Terraform command line interface so that Terraform can be more easily invoked from Ruby code.

This package provides a few useful extensions to core Ruby classes, including Array, Enumerable, Hash, Numeric, and String.

Base annotation databases for E coli K12 Strain, intended ONLY to be used by AnnotationDbi to produce regular annotation packages.

Aim is to provide fractional Brownian vector field generation algorithm, Hurst parameter estimation method and fractional kriging model for multivariate data modeling.

This package provides functions for performing polygon geometry with grid grobs. This allows complex shapes to be defined by combining simpler shapes.

The function combines a scatter plot with ridgelines to better visualise the distribution between sample groups. The plot is created with ggplot2'.

An R package for creating diagnostic plots for models. The package allows for the creation of panels of plots and interactive plots.

This package provides functions for combining model outputs (e.g. predictions or estimates) from multiple models into an aggregated ensemble model output.

Given a response y and a one- or two-dimensional predictor, the isotonic regression estimator is calculated with the usual orderings.

Useful for preparing and cleaning data. It includes functions to center data, reverse coding, dummy code and effect code data, and more.

This package provides a toolbox for comparing two data frames. This package is defunct. I recommend you use the "versus" package instead.

This package provides functions to compute Shannon entropy, Renyi entropy, Tsallis entropy, and related extropy measures for discrete probability distributions. Includes joint and conditional entropy, KL divergence, Jensen-Shannon divergence, cross-entropy, normalized entropy, and Renyi extropy (including the conditional and maximum forms). All measures use the natural logarithm (nats). Useful for information theory, statistics, and machine learning applications.