Package index • dyadicMarkov

Empirical transition matrices

countEmp(): Empirical transition counts for univariate dyadic sequences
countEmpBivariate(): Empirical transition counts for bivariate dyadic sequences

Transition probability estimation

mleEstimation(): Maximum likelihood estimation of transition probabilities

Pattern identification

univariatePattern(): Univariate pattern identification for dyadic Markov chains
bivariateCase(): Bivariate case identification for dyadic Markov chains
partialPattern(): Partial bivariate pattern identification by AIC
completePattern(): Complete bivariate pattern identification by AIC

Plotting

plot(<dyadic_pattern>) plot(<dyadic_case>): Plot dyadic categorical state strips

Example data

dyadic_univariate_example: Synthetic univariate dyadic sequence example
dyadic_bivariate_example: Synthetic bivariate dyadic sequence example
sensitivity_simulation_data data_complete_30 data_complete_60 data_complete_90 data_complete_180 data_complete_720: Sensitivity-analysis simulation datasets