Function reference • ccesMRPrun

Overall
`mrp_onestep()`	Fits and tidies MRP outputs in one step
`direct_ests()`	Direct Estimator
Fit models
`fit_GA`	Fitted brms model
`fit_brms()`	Fit a binary model for MRP
`fit_brms_binomial()`	Fit a brms model with count data
`prior_pd_binomial()`	Use priors and covariates to generate a prior predictive distribution
Poststratify
`poststrat_draws()`	Get MCMC draws of post-stratified estimate of demog x cd cells
`pivot_celldraws_longer()`	Take output from brms prediction and turn to tidy form
`poststrat_onestep()`	Do post-stratification and summarize draws in one step
Summarize and Visualize
`summ_sims()`	Get summary statistics from draws (of counts)
Calibration
`calib_oneway()`	Find one-way (intercept) correction for cell estimates
`calib_twoway()`	Find two-way correction for cell estimates
`posthoc_error()`	Compute absolute deviation
`logit_ghitza()`	A logit transformation as implemented by Ghitza
Example Datasets
`cces_GA`	CCES 2016 from Georgia
`acs_GA`	ACS Data
`elec_GA`	Election outcome (often the quantity to estimate)
`fit_GA`	Fitted brms model
`summ_GA`	Summary statistics of posterior samples.

Reference