fit_IPD_mcmc: Fit a finite mixture model using MCMC.

In ctross/PrisonR: A package for simulating and analyzing iterated prisoners dilema games

Fit a finite mixture model using MCMC.

Description

Fit a finite mixture model using MCMC.

Usage

fit_IPD_mcmc(
  d,
  covariates = NULL,
  n_strategies = 12,
  eta_moves = 4,
  eta_arb = 4,
  n_chains = 1,
  n_cores = 1,
  iterations = 1000,
  warmup = 500,
  adapt_delta = 0.95,
  max_treedepth = 12
)

Arguments

d	A data list of the format exported by simulate_round_robin().
covariates	A matrix of covariates. Row number should equal the number of players.
n_strategies	The number of considered strategies. PrisonR considers 12 by default. Changing this requires advanced editing of the Stan code. Good luck!
eta_moves	A term that controls the plausibility of implementation errors.
eta_arb	A term that controls the plausibility of implementation errors.
n_chains	Number of MCMC chains.
n_cores	Number of cores to use.
iterations	Total number of MCMC iterations.
warmup	Warmup iterations: "warmup" must be < "iterations".
adapt_delta	A term that controls MCMC proposal acceptance rate.
max_treedepth	A term that controls the MCMC treedepth.

Value

A Stan object.

ctross/PrisonR documentation built on July 1, 2024, 11:23 p.m.