meta_V() and meta_known_V() mark known sampling variance or covariance
in a formula. They are designed for meta-analysis and other regression
problems where part of the observation covariance is known in advance.
meta_V(V = V) is the preferred spelling; meta_known_V(V = V) is retained
as a compatibility alias.
Usage
meta_V(V)
meta_known_V(V)
Arguments
- V
A column name, vector, diagonal matrix, block-diagonal matrix, or
full covariance matrix. Diagonal/vector V represents independent known
sampling variances. A matrix represents the known covariance among rows.
Value
A formula marker; never evaluated by users.
Examples
bf(yi ~ moderator + meta_V(V = vi), sigma ~ moderator)
#> <drm_formula>
#> yi ~ moderator + meta_V(V = vi)
#> sigma ~ moderator
bf(yi ~ moderator + meta_known_V(V = vi), sigma ~ moderator)
#> <drm_formula>
#> yi ~ moderator + meta_known_V(V = vi)
#> sigma ~ moderator
