View source: R/03_calibration_functions.R
log_prior | R Documentation |
log_prior
computes a log-prior value for one (or multiple) parameter
set(s) based on their prior distributions.
log_prior(v_params, v_param_names = c("p_S1S2", "hr_S1", "hr_S2"),
v_lb = c(p_S1S2 = 0.01, hr_S1 = 1, hr_S2 = 5), v_ub = c(p_S1S2 = 0.5,
hr_S1 = 4.5, hr_S2 = 15))
v_params |
Vector (or matrix) of model parameters. |
v_param_names |
Vector with parameter names. |
v_lb |
Vector with upper bounds for each parameter. |
v_ub |
Vector with lower bounds for each parameter. |
A scalar (or vector) with log-prior values.
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
log_prior(v_params = sample.prior(n_samp = 5))
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