R: Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R

# Pattern Estimation and Identification for Dyadic Sequences Using Transition Matrices in R

## Documentation for package ‘dyadicMarkov’ version 0.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bivariateCase | Bivariate case identification for dyadic Markov chains
completePattern | Complete bivariate pattern identification by AIC
countEmp | Empirical transition counts for univariate dyadic sequences
countEmpBivariate | Empirical transition counts for bivariate dyadic sequences
dyadic_bivariate_example | Synthetic bivariate dyadic sequence example
dyadic_univariate_example | Synthetic univariate dyadic sequence example
mleEstimation | Maximum likelihood estimation of transition probabilities
partialPattern | Partial bivariate pattern identification by AIC
univariatePattern | Univariate pattern identification for dyadic Markov chains