fit_brms_binomial: Fit a brms model with count data

In kuriwaki/ccesMRPrun: Using MRP Models from Cleaned CCES and Census Data

Fit a brms model with count data

Description

Fit a brms model with count data

Usage

fit_brms_binomial(
  .formula,
  .data,
  verbose = TRUE,
  .prior = c(prior_string("normal(0, 1)", class = "b"), prior_string("normal(0, 1)",
    class = "sd"), prior_string("normal(0, 1)", class = "Intercept")),
  .iter = 2000,
  .warmup = floor(.iter/2),
  .cores = 4,
  .chains = 4,
  .threads = NULL,
  .backend = "cmdstanr",
  .seed = 2138
)

Arguments

.formula	model specification
.data	collapsed survey dataset, built from ccesMRPprep::build_counts
verbose	Whether to show iteration messages
.prior	prior specification that can be interpreted by brms. The default is a standard normal prior, which is tighter than the brms default but has shown to have good prior posterior draws
.iter	Number of total iterations.
.warmup	Of the iterations, how much are burn-ins. Defaults to half.
.cores	Number of cores to uses
.chains	Number of chains to pass on fit_brms
.threads	The number of threads to do within-chain parallelization. Defaults to not using, which is NULL
.backend	The backend argument of brms. Currently only "cmdstanr"
.seed	seed for randomization to pass into brm

kuriwaki/ccesMRPrun documentation built on Sept. 24, 2024, 2:15 a.m.