find_wildcards: Find Indices for Non-identifiable Elements of State Matrix.
In datafsm: Estimating Finite State Machine Models from Data

find_wildcards finds indices for non-identifiable elements of state matrix.

1	find_wildcards(state_mat, action_vec, cols)

`state_mat`	Numeric matrix with rows as states and columns as predictors.
`action_vec`	Numeric vector indicating what action to take for each state.
`cols`	Numeric vector same length as number of columns of the state matrix (`state_mat`) with the action that each column of the state matrix corresponds to the decision model taking in the previous period. This is only relevant when the predictor variables of the FSM are lagged outcomes that include the previous actions taken by that decision model.

This is a helper function for degeneracy_check.

Returns a list of indices (tuples specifying row and column of a matrix).

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tft_state <- matrix(c(1, 1, 1, 1, 2, 2, 2, 2), 2, 4)
tft_action <- matrix(c(1, 2))
find_wildcards(tft_state, tft_action,  c(1, 2, 1, 2))

datafsm documentation built on May 30, 2021, 1:06 a.m.

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