Compares the partial bivariate patterns B1, B2, and B3 using AIC and returns the selected pattern.
Arguments
- empirical
An empirical bivariate count matrix with 16 rows and 2 columns, as returned by
countEmpBivariate.
Value
A list with class c("dyadic_pattern", "list") containing
components aic (a data frame with candidate patterns and AIC
values), pattern (the selected pattern label), and call. It
remains usable as an ordinary list.
Details
Conditional on the partial bivariate case, AIC is used to select among the B1, B2, and B3 structures.
Examples
chainFM_V1 <- c(1L, 2L, 1L, 2L, 2L, 1L)
chainSM_V1 <- c(2L, 1L, 2L, 1L, 1L, 2L)
chainFM_V2 <- c(1L, 1L, 2L, 2L, 1L, 2L)
chainSM_V2 <- c(2L, 2L, 1L, 1L, 2L, 1L)
emp <- countEmpBivariate(
chainFM_V1, chainSM_V1, chainFM_V2, chainSM_V2,
states = 2L
)
partialPattern(emp)
#> Dyadic interaction pattern
#> Pattern: partial actor (B2)