NEWS
RealVAMS 0.4-3 (2019-04-23)
- Added the joint covariance matrix, C, of the estimated fixed effects and
predicted random effects to the output. See Henderson (1975).
- Paper reference added to manuals and to CITATION file.
RealVAMS 0.4-0 (2017-08-14)
- New arguments added to the RealVAMS function
-- independent.responses defaults to FALSE. If TRUE,
this option will model the responses independently
by fixing the covariances in G at 0 as well as the
covariances in the last row/column of R. The resulting
estimates are the same as those that would be obtained by
modelling the test scores in package GPvam (with REML=FALSE)
and modelling the binary respones in SAS GLIMMIX (RealVAMS
has been validated against these programs).
-- cpp.benchmark defaults to FALSE. If TRUE, this option will
perform the calculations shown in equation (16) of Karl,
Yang, Lohr (2013) using both R and the embedded C++ code
to demonstrate the time savings of using C++. A summary
table is printed at the end.
- The functions in the code of the file vp_cp (the estimation routine)
have been commented to explain their purpose and to reference
which equations from Karl, Yang, Lohr (2013) or Wolfinger and
O'Connell (1993) they represent
RealVAMS 0.3-3 (2017-03-14)
- Add generic summary, plot, and print functions.
- Added detail to documentation for the RealVAMS function
- Reformatted user manual documentation for simulated data
- Renamed some of the elements of the RealVAMS class
RealVAMS 0.3-2 (2015-07-21)
- Minor updates to package structure to match new CRAN requirements.
RealVAMS 0.3-1 (2014-11-01)