smi_sec_5_3_compute_mcmc: Compute MCMC in agricultural model

In christianu7/aistats2020smi: Semi-Modular Inference

Description

Compute MCMC used in section 5.3

Usage

smi_sec_5_3_compute_mcmc(
  out_dir,
  eta_all = seq(0.1, 1, by = 0.1),
  force_compute_mcmc = FALSE,
  n_iter = 1e+05,
  n_iter_sub = 100,
  n_warmup = 10000,
  n_thin = 3,
  n_epoch_adapt = 5,
  n_iter_adapt = 1000,
  seed = 123
)

Arguments

out_dir	Directory where outputs are stored
eta_all	Levels of influence of the PO module
force_compute_mcmc	To avoid computation time, completed MCMC is not recomputed, unless force_compute_mcmc is True
n_iter	Number of iterations in the main chain
n_iter_sub	Number of iterations in the sub-chain for the two-stage MCMC
n_warmup	Number of iterations used for warm-up
n_thin	Number of iterations used for thinning
n_epoch_adapt	Number of epochs for adaptation of proposal distributions
n_iter_adapt	Number of iterations in each adaptation epoch
seed	Set random seed before MCMC starts for reproducibility

christianu7/aistats2020smi documentation built on March 7, 2021, 2:40 p.m.