as.data.frame.walker_fit: Coerce Posterior Samples of walker Fit to a Data Frame

In walker: Bayesian Generalized Linear Models with Time-Varying Coefficients

Coerce Posterior Samples of walker Fit to a Data Frame

Description

Creates a data.frame object from the output of walker fit.

Usage

## S3 method for class 'walker_fit'
as.data.frame(x, row.names = NULL, optional = FALSE, type, ...)

Arguments

x	An output from walker() or walker_glm().
row.names	NULL (default) or a character vector giving the row names for the data frame.
optional	Ignored (part of generic as.data.frame signature).
type	Either tiv (time-invariant parameters) or tv (time-varying coefficients).
...	Ignored.

Examples

## Not run: 
 as.data.frame(fit, "tiv") %>% 
 group_by(variable) %>%
 summarise(mean = mean(value),
           lwr = quantile(value, 0.05),
           upr = quantile(value, 0.95))

## End(Not run)

walker documentation built on Sept. 11, 2024, 8:33 p.m.