semEff 0.3.0
New features:
- Support for mixed models of class “lmerModLmerTest”
- New function ‘glt’, for calculating ‘generalised’ link transformations for non-gaussian variables
Other changes:
- Transfer of some functionality from ‘getY’ to ‘glt’
- Minor changes to arguments in ‘bootEff’ and ‘getY’
- Added ability in ‘stdCoeff’ to use variables not present in the model design matrix (e.g. a ‘missing’ main effect for an interaction)
- Added ability to pass a boot object (from ‘bootEff’) to the ‘effects’ argument of ‘predEff’
- Added a ‘refit.x’ argument to ‘stdCoeff’, allowing control over whether to refit the model with centred predictors (for correct VIFs)
- Various updates to documentation
Bugs fixed:
- ‘xNam’ did not generate correct term names for categorical variables with contrast types other than ‘contr.treatment’
- ‘stdCoeff’ did not correctly adjust for multicollinearity for a model containing categorical variables when centring was specified (‘cen.x = TRUE’)
- ‘getY’ failed to generate an estimated working response when a variable with missing values (NAs) was supplied (this functionality now in ‘glt’)
- ‘predEff’ failed for models with categorical variables (did not access dummy variables in model matrix)
semEff 0.2.1
Bugs fixed:
- Function ‘semEff’ does not output effects properly
semEff 0.2.0
New features:
- Added support for generalised least squares models (class “gls”)
- Added support for beta regression models (class “betareg”)
Bugs fixed:
- Function ‘xNam’ does not generate correct term names for interactions involving multi-coefficient terms (e.g. factors)
- Function ‘xNam’ does not generate correct term names for factors when the model intercept is suppressed
- Function ‘R2’ with argument ‘pred = TRUE’ throws an error for models where any weights = 0
semEff 0.1.0
New package ‘semEff’, allowing the automatic calculation of effects for ‘piecewise’ structural equation models.