brms (version 1.3.1)

me: Predictors with Measurement Error in brms Models

Description

Predictors with Measurement Error in brms Models

Usage

me(x, sdx = NULL)

Arguments

x

The variable measured with error.

sdx

Known measurement error of x treated as standard deviation.

Details

For detailed documentation see help(brmsformula).

This function is almost solely useful when called in formulas passed to the brms package.

See Also

brmsformula

Examples

## Not run: 
# # sample some data
# N <- 100
# dat <- data.frame(y = rnorm(N), x = rnorm(N), sdx = abs(rnorm(N, 1)))
# # fit a simple error-in-variables model 
# fit <- brm(y ~ me(x, sdx), data = dat, save_mevars = TRUE)
# summary(fit)
# ## End(Not run)