Calculates, inspects, tabulates, and visualises changes in rankings across two to four ordered states. Creates ggplot2'-based rank-transition charts that retain categories entering or leaving a selected top-rank boundary. Supports ranks calculated from numeric values as well as authoritative ranks supplied without values.
Lightweight way to read NumPy .npy and .npz files in R. All data types supported by NumPy', with all sizes (converted internally to R native size), both C and Fortran order, and any shape, up to an arbitrary number of dimensions, are supported.
Various functions and algorithms are provided here for solving optimal matching tasks in the context of preclinical cancer studies. Further, various helper and plotting functions are provided for unsupervised and supervised machine learning as well as longitudinal mixed-effects modeling of tumor growth response patterns.
Suite of tools for managing cached files, targeting use in other R packages. Uses rappdirs for cross-platform paths. Provides utilities to manage cache directories, including targeting files by path or by key; cached directories can be compressed and uncompressed easily to save disk space.
Offers methods for visualising, modelling, and forecasting high-dimensional functional time series, also known as functional panel data. Documentation about hdftsa is initially provided via the paper by Cristian F. Jimenez-Varon, Ying Sun and Han Lin Shang (2024, Journal of Computational and Graphical Statistics).
Estimates the density of a spatially distributed animal population sampled with an array of passive detectors, such as traps. Models incorporating distance-dependent detection are fitted by simulation and inverse prediction as proposed by Efford (2004) <doi:10.1111/j.0030-1299.2004.13043.x>.
This is a collection of tools for more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Support for models produced by the survey and lme4 packages are points of emphasis.
This package provides functions to estimate and visualize linear as well as nonlinear impulse responses based on local projections by Jordà (2005) <doi:10.1257/0002828053828518>. The methods and the package are explained in detail in Adämmer (2019) <doi:10.32614/RJ-2019-052>.
This package contains a collection of useful functions for basic data computation and manipulation, wrapper functions for generating ggplot2 graphics, including statistical model diagnostic plots, methods for computing statistical models quality measures (such as AIC, BIC, r squared, root mean squared error) and general utilities.
Distributions that are typically used for exposure rating in general insurance, in particular to price reinsurance contracts. The vignette shows code snippets to fit the distribution to empirical data. See, e.g., Bernegger (1997) <doi:10.2143/AST.27.1.563208> freely available on-line.
This package performs nonparametric estimation in mixture cure models, and significance tests for the cure probability. For details, see López-Cheda et al. (2017a) <doi:10.1016/j.csda.2016.08.002> and López-Cheda et al. (2017b) <doi:10.1007/s11749-016-0515-1>.
This package provides functions to use the NamePrism API <https://www.name-prism.com/api> or NamSor API v2 <https://namsor.app/> for classifying names based on gender, 6 U.S. ethnicities, or 39 leaf nationalities. Updated to work with current API endpoints.
An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) <doi:10.1111/j.1467-985X.2008.00552.x>, Partlett and Riley (2017) <doi:10.1002/sim.7140>, and Nagashima et al. (2019) <doi:10.1177/0962280218773520>, <arXiv:1804.01054>.
The approach is based on the closed testing procedure to control familywise error rate in a strong sense. The local tests implemented are Wald-type and rank-score. The method is described in De Santis, et al., (2026), <doi:10.48550/arXiv.2511.07999>.
Simulation of event histories with possibly non-linear baseline hazard rate functions, non-linear (time-varying) covariate effect functions, and dependencies on the past of the history. Random generation of event histories is performed using inversion sampling on the cumulative all-cause hazard rate functions.
This package provides programmatic access to official environmental statistics and data of Peru from the National Environmental Information System ('SINIA', <https://sinia.minam.gob.pe/>), Ministry of the Environment ('MINAM'). Includes indicator catalogs, technical metadata sheets ('fichas técnicas'), and structured historical series for R'.
This package implements a Seasonal-Trend decomposition procedure based on LOESS (STL, developed by Cleveland, Cleveland, McRae, and Terpenning, 1990) in R and C++'. The package supports missing values, fractional seasonal periods, multiplicative decompositions, and cross-validation based selection of the seasonal smoothing window.
Method to estimate the spatial influence scales of landscape variables on a response variable. The method is based on Chandler and Hepinstall-Cymerman (2016) Estimating the spatial scales of landscape effects on abundance, Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.
Wrapper for using tapkee command line utility, it allows to run it from inside R and catch the results for further analysis and plotting. Tapkee is a program for fast dimension reduction, see package?tapkee and <http://tapkee.lisitsyn.me/> for installation and other details.
Imports non-tabular from Excel files into R. Exposes cell content, position and formatting in a tidy structure for further manipulation. Tokenizes Excel formulas. Supports .xlsx and .xlsm via the embedded RapidXML C++ library <https://rapidxml.sourceforge.net>. Does not support .xlsb or .xls'.
This package implements a grammar of summary data for clinical reports. Clinical summary tables are decomposed into modular layers, each representing an independent summary block. Supports count, descriptive statistics, and shift layer types with a declarative spec-based API built on data.table for performance.
Most universities use specific color combinations to express their unique brand identity. The unicol package provides the colors and color palettes of various universities for easy plotting and printing in R. We collect and provide a diverse range of color palettes for creating scientific visualizations.
This package provides functions to query the UniTCM API (<https://unitcm.qfxulab.com>), covering herb exploration, compound/ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) data, disease-formula associations, Traditional Chinese Medicine (TCM) ontology, transcriptomics, and gene-disease analysis (MIDAS, Mining Integrated Disease Association Sources).
This package provides a minor collection of HTTP wrappers for the Zamzar file conversion API. The wrappers makes it easy to utilize the API and thus convert between more than 100 different file formats (ranging from audio files, images, movie formats, etc., etc.) through an R session.