apcsamp: A wrapper for "draw_chains" that will use multiple search...

In bjb40/apcwin: Age-Period-Cohort Estimators

Description

A wrapper for "draw_chains" that will use multiple search chains in the algorithm.

Usage

apcsamp(formula, data, windowvars = c("a", "p", "c"), cores = 1,
  method = "ml", chains = 1, samples = 100, draws = 1000, ...)

Arguments

formula	A formula for a model.
data	A dataframe.
windowvars	A character vector naming the age, period, and cohort variables (defaults to 'a', 'p', and 'c'). This can also be used to calculate window breaks for other sorts of continuous varaibles.
cores	Integer indicating cores to use.
method	One of "gibbs" or "ml". For a fully bayesian estimator for a faster approximation.
samples	Integer indicating the number of models to sample in the chain.
draws	Integer indicating samples; used only for "gibbs" method.
startvals	Optional list for chain starting values.

Details

what does this look like.

Value

An object of apcsamp.

Examples

data(apcsim)
apcsamp(y1~a + I(a^2) + p + c, data=apcsim,
  windowvars=c('p','c'),method='ml',
  samples=250,cores=4,chains=4)

bjb40/apcwin documentation built on May 25, 2019, 3:24 p.m.