Print method for merr objects returned by qrme.
Shows the measurement error distribution type and its fitted parameters
(mixture weights, means, and standard deviations) with bootstrap standard
errors when available.
Usage
# S3 method for class 'merr'
print(x, ...)Examples
# \donttest{
set.seed(1)
n <- 200; X <- runif(n)
Y <- 1 + X + rnorm(n) + rnorm(n, sd = 0.5)
fit <- qrme(Y ~ X, data.frame(Y, X), tau = 0.5,
mcmc_draws = 80L, mcmc_burn_in = 40L,
max_em_iters = 10L, verbose = FALSE)
#> Warning: Too many fixups: doubling m
#> Warning: Too many fixups: doubling m
#> Warning: Too many fixups: doubling m
#> Warning: EM algorithm failed to converge after 10 iterations
print(fit)
#> Measurement error: gaussian
#> Pi Mu Sigma
#> 1 1 0 0.443
# }