# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "LagSequential" in publications use:' type: software license: GPL-2.0-or-later title: 'LagSequential: Lag-Sequential Categorical Data Analysis' version: 0.1.1 doi: 10.32614/CRAN.package.LagSequential abstract: Lag-sequential analysis is a method of assessing of patterns (what tends to follow what?) in sequences of codes. The codes are typically for discrete behaviors or states. The functions in this package 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. The methods are described in Bakeman & Quera (2011) , O'Connor (1999) , Wampold & Margolin (1982) , and Wampold (1995, ISBN:0-89391-919-5). authors: - email: brian.oconnor@ubc.ca - family-names: O'Connor given-names: Zakary A. Draper & Brian P. repository: https://bpoconnor.r-universe.dev commit: 444fb491b0e2aa1a01af2394f4a046735704cf0d date-released: '2019-05-15' contact: - email: brian.oconnor@ubc.ca