brms (version 2.1.0)

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)
# }
# NOT RUN {
# }