A utility function for reference: Returns a list with R2 and sum of squares for the OLS model encompassing all potential covariates that are included in a bma object.
fullmodel.ssq(yX.data)Returns a list with some basic OLS statistics
The R-squared of the full model
The sum of squares of residuals of the full model
The explained sum of squares of the full model
The sum of squares of the (demeaned) dependent variable
The F-statistic of the full model
a bma object (cf. bms) - alternatively a
data.frame or matrix whose first column is the dependent
variable
bms for creating bma objects, lm for
OLS estimation
Check http://bms.zeugner.eu for additional help.
data(datafls)
mm=bms(datafls)
fullmodel.ssq(mm)
#equivalent:
fullmodel.ssq(datafls)
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