Multivariate and Multichannel Discrete Hidden Markov Models for Categorical Sequences

Cluster high dimensional categorical datasets

Quickly make tables of descriptive statistics (i.e., counts, percentages, confidence intervals) for categorical variables. This package is designed to work in a tidyverse pipeline, and consideration has been given to get results from R to Microsoft Word ® with minimal pain.

Surrogate residuals for cumulative link and general regression models in R

Multivariate Outlierdetection In Contingency Tables

Bayesian network analysis in R

A structural similarity index for binary or categorical images that works in 2D or 3D.

Power and Sample Size Calculation for the Cochran-Mantel-Haenszel Chi-Squared Test

Categorical Functional Data Analysis

🎓 Tidy categorical tools for academics

Multivariate analysis (MVA) of high dimensional heterogeneous data

Smooth Effects on Response Penalty for CLM

Visualize coupled categorical and continuous variables in a single plot (e.g., movement and speech state)

A categorical analysis approach to predicting level of car accident severity in Pennsylvania, USA, based on 2019 data

Loglinear models for three-way tables

This is a Shiny App created with the data of climacteric stations in Ottawa, Canada. It helps understand the time series of data recorded and obtain final predictions from some statistical models. Correlation as well can be achieved based also on monthly categories.

Translating Categorical Data in R Using Custom Translation Tables

Testing for Spatial Structure of Qualitative Data in Cross Section

The project involves sampling designs and summarizing data, maximum likelihood estimation of parameters, bootstrap, parametric and non-parametric inference, the analysis of variance, linear least squares, categorical data, elements of the decision theory and bayesian inference.

An analysis of the office betting pool for the final season of Game of Thrones