In carolyner/imabc: Incremental Mixture Approximate Bayesian Computation (IMABC)

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(imabc)

Defining Prior Distributions

Parameters must have unique names (a unique name will be supplied if not given)

priors <- define_priors(
  # x1: Uniform Prior (from base R)
  x1 = add_prior(
    dist_base_name = "unif",
    min = 0.2, max = 0.9
  ),
  # x2: Truncated Normal (from truncnorm package)
  add_prior(
    parameter_name = "x2",
    density_fn = "dtruncnorm",
    mean = 0.5, sd = 0.05, a = 0.4, b = 0.8, # a = min and b = max
    min = 0.4, max = 0.8 # User must specify both in truncnorm
  ),
  # V3: Fixed parameter (not calibrated)
  add_prior(0.5)
)