This package provides functions for estimating structural equation models using instrumental variables.
Suite of interactive functions and helpers for selecting and editing geospatial data.
Clustering analysis for sparse microbiome data, based on a Poisson hurdle model.
Quickly and easily add a mini map to your rmarkdown html documents.
This package provides functions for descriptive statistics, data management, and data visualization.
It's a collection of functions for Multiplicity Correction and Multiple Testing.
This package provides functions to visually and statistically analyze single system data.
Interfaces with the SigOpt API. More info at <https://sigopt.com>.
Access, download and locally cache files deposited on Zenodo <https://zenodo.org>.
This package provides functions and data used in Balasubramanian, et al. (2004).
Simulated expression data for five large Gene Regulatory Networks from different simulators.
ExpressionSet for Spellman et al. (1998) yeast cell cycle microarray experiment.
This package contains functions and classes that are needed by arrayCGH packages.
This package provides the datasets to support the Fish Stock Assessment (FSA) package.
This package provides five omnibus tests for testing the composite hypothesis of normality.
This package provides a collection of lexical hash tables, dictionaries, and word lists.
This package computes two-sample confidence intervals for single, paired and independent proportions.
This package provides tools for stochastic fractal and deterministic chaotic time series analysis.
The Munsell package contains functions for exploring and using the Munsell colour system.
This package provides Common Lisp CFFI bindings to the Raylib game development library.
This Ruby library provides a JSON implementation written as a native C extension.
Make your workflow faster and easier. Easily customizable plots (via ggplot2'), nice APA tables (following the style of the *American Psychological Association*) exportable to Word (via flextable'), easily run statistical tests or check assumptions, and automatize various other tasks.
Validating sub-national statistical typologies, re-coding across standard typologies of sub-national statistics, and making valid aggregate level imputation, re-aggregation, re-weighting and projection down to lower hierarchical levels to create meaningful data panels and time series.
Ports the Ripser <doi:10.48550/arXiv.1908.02518> and Cubical Ripser <doi:10.48550/arXiv.2005.12692> persistent homology calculation engines from C++. Can be used as a rapid calculation tool in topological data analysis pipelines.