Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
If it would be
cat("Step size: ", sapply(object, function(x) x$control$nu), "\n\n")
one would see if different step-lengths are used for the distribution parameters.
Best
The current print-statement in summary.mboostLSS is:
cat("Step size: ", object[[1]]$control$nu, "\n\n")https://github.com/hofnerb/gamboostLSS/blob/master/pkg/R/methods.R#L290 Which means you see only the step length of the first distribution parameter.If it would be
cat("Step size: ", sapply(object, function(x) x$control$nu), "\n\n")one would see if different step-lengths are used for the distribution parameters. Best