Compares the complete bivariate patterns C, D1–D4, and E1–E4 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 columns pattern,
matrix, and aic), pattern (the selected pattern
label), and call. It remains usable as an ordinary list.
Details
Conditional on the complete bivariate case, AIC is used to select among the C, D1–D4, and E1–E4 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
)
completePattern(emp)
#> Dyadic interaction pattern
#> Pattern: complete partner on both (E1)