bootstrap_missing_hier: Bootstrap missing values in data from fitted multivariate...
In ashiklom/mvtraits: Fit multivariate models to partially missing trait data

Description Usage Arguments Value Author(s)

Bootstrap missing values in data from fitted multivariate hierarchical model

1	bootstrap_missing_hier(fit, dat, groups, n = 500, progress = TRUE)

`fit`	Fitting result, as returned by `fit_mvnorm()` or `fit_mvnorm_hier()`. Or, a matrix of samples, as returned by `coda:::as.matrix.mcmc.list(fit)`
`dat`	Data with partially missing values
`groups`	a vector of groups. If `NULL` (default), assume a simple multivariate fit.
`n`	Number of bootstrap samples (default = 500)
`progress`	(Logical) If `TRUE` (default), display a progress bar

If missing_only, matrix of bootstrapped missing values (nmissing x n). Otherwise, an array of bootstraps of the full imputed dataset, with dimensions c(nrow(dat), ncol(dat), n).

Alexey Shiklomanov

ashiklom/mvtraits documentation built on Sept. 4, 2019, 7:43 a.m.