cost_by_prev_state: Get cost by previous states
In pmcharrison/seqopt: Finding optimal sequences with dynamic programming

Description Usage Arguments Value

View source: R/costs.R

Returns costs for moving to a given state from a vector of previous states.

1 2	cost_by_prev_state(prev_state_values, new_state_value, cost_funs, weights, exp_cost, profile = FALSE)

`prev_state_values`	List of potential previous states, over which this function is vectorized.
`new_state_value`	State to move to.
`cost_funs`	Named list of cost functions, each created by `cost_fun`.
`weights`	Numeric vector of weights for these cost functions.
`exp_cost`	(Logical scalar) Whether the total costs should be exponentiated (after summing over the cost functions).
`profile`	(Logical scalar) Whether to profile the time taken to compute each cost function. If TRUE, profile information will be returned in the "time" attribute of the output object.

A numeric vector of costs of the same length as prev_state_values, corresponding to the cost associated with moving from that previous state to the new state.

pmcharrison/seqopt documentation built on May 22, 2019, 6:35 p.m.