hosp_log_prior_opt: Evaluate log-prior of calibrated hospitalization parameters...

In SC-COSMO/sccosmomcma: Stanford-CIDE COronavirus Simulation MOdel (SC-COSMO) for Mexico City Metropolitan Area Analysis

Description

hosp_log_prior_opt computes a log-prior value for one (or multiple) hospitalization parameter set(s) based on their prior distributions. Used for OPTIMIZATION purposes, NOT Bayesian estimation.

Usage

hosp_log_prior_opt(
  v_params,
  v_param_names = names(get_hosp_bounds()$v_lb),
  v_lb = get_hosp_bounds()$v_lb,
  v_ub = get_hosp_bounds()$v_ub
)

Arguments

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.

Value

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

SC-COSMO/sccosmomcma documentation built on Dec. 18, 2021, 11:56 a.m.