LagSequential-package: Lag-Sequential Categorical Data Analysis
In LagSequential: Lag-Sequential Categorical Data Analysis

This package provides functions for conducting lag sequential analyses of categorical data.The functions are R versions of the programs provided by O'Connor (1999). The functions read a stream of codes, or a frequency transition matrix, and produce a variety of lag sequential statistics, including transitional frequencies, expected transitional frequencies, transitional probabilities, z values, adjusted residuals, Yule's Q values, likelihood ratio tests of stationarity across time and homogeneity across groups or segments, transformed kappas for unidirectional dependence, bidirectional dependence, parallel and nonparallel dominance, and significance levels based on both parametric and randomization tests.

When data is a frequency transition matrix, the code value that preceded the first code in the sequence, and the code value that followed the final code value, are usually unknown/unavailable. This missing information may cause slight inaccuracies in some of the provided statistics, most likely only at the second decimal place. The inaccuracies will be negligible in longer data sequences.

O'Connor, B. P. (1999). Simple and flexible SAS and SPSS programs for analyzing lag-sequential categorical data. Behavior Research Methods, Instrumentation, and Computers, 31, 718-726.

LagSequential documentation built on May 16, 2019, 5:09 p.m.