Maybe sandwich working
authorjpritikin <jpritikin@df83fd30-4cca-4c36-ab9d-e8b5583ccbd1>
Tue, 17 Dec 2013 18:50:24 +0000 (18:50 +0000)
committerjpritikin <jpritikin@df83fd30-4cca-4c36-ab9d-e8b5583ccbd1>
Tue, 17 Dec 2013 18:50:24 +0000 (18:50 +0000)
commit358c427c132a7026de23410c65fed140eef11da8
tree28f74fe9678e489ca31b1c7f29f71c7486f7d1e6
parent38a39abb12558e60dfa357bd9c3fbcd4be5c3376
Maybe sandwich working

After looking at Yuan, Cheng, & Patton (2013), it seems unlikely that
latent distribution gradients are of much utility. At the previous
commit, they are working and validated against numDeriv. I will remove
them in the next commit.

git-svn-id: http://openmx.psyc.virginia.edu/svn/trunk@3018 df83fd30-4cca-4c36-ab9d-e8b5583ccbd1
R/MxCompute.R
models/nightly/ifa-ms.R
models/passing/ifa-drm-mg2.R
models/passing/ifa-grm1.R
models/passing/ifa-latent-2d.R [deleted file]
models/passing/ifa-latent-2tier.R [deleted file]
src/Compute.cpp
src/Compute.h
src/matrix.cpp
src/matrix.h
src/omxFitFunctionBA81.cpp