predict.linear.bayes {bqtl} | R Documentation |
The linear.bayes
object returns fitted coefficients. These are
used to construct predicted values. Since the fitting process for
linear.bayes
objects is based on moments of centered variables,
the 'intercept' is lost; see ‘Details’ below.
## S3 method for class 'linear.bayes' residuals(object, ...) ## S3 method for class 'linear.bayes' predict(object, newdata = lb.call$ana.obj, return.resids = FALSE, ...) ## S3 method for class 'linear.bayes' fitted(...)
object |
An object returned by |
... |
possibly the following |
newdata |
Optional |
return.resids |
Not usually set by the user. |
Since the linear.bayes object
is based on a moment
matrix, some information is lost thsat must be reconstructed or
assumed. The intercept and possibly the coefficients for control
variates are aong these. Also, when the call to linear.bayes
supplied the moment matrix rather than formulae with which to create
one, then it is unclear what variable was used as the regressand and
hence which variable to use in ofrming residuals. So, in that case,
residuals
will report an error
A vector of predicted values or residuals
Charles C. Berry cberry@ucsd.edu