Log-likelihood function for a parameter set

Source: R/03_calibration_functions.R

log_lik computes a log-likelihood value for one (or multiple) parameter set(s).

log_lik(v_params, l_params_all = load_all_params())

Arguments

v_params

Vector (or matrix) of model parameters.
l_params_all

List with all parameters of the decision model.

Value

A scalar (or vector) with log-likelihood values.

Examples

# NOT RUN {
  v_param_names  <- c("p_S1S2", "hr_S1", "hr_S2")
  n_param        <- length(v_param_names)
  v_lb <- c(p_S1S2 = 0.01, hr_S1 = 1.0, hr_S2 = 5)  # lower bound
  v_ub <- c(p_S1S2 = 0.50, hr_S1 = 4.5, hr_S2 = 15) # upper bound
  v_target_names <- c("Surv", "Prev", "PropSick")
  n_target       <- length(v_target_names)
  log_lik(v_params = sample.prior(n_samp = 2))
# }