New Feature Proposals
New Feature Proposals
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gene based gene environment interaction in twin studies
I’m going to explore gene environment interaction based gene in twin studies. I’ve searched for literatures, and found general/generalized linear mixed model framework of ACE model may be good choices(https://www.ncbi.nlm.nih.gov/pubmed/28953253).
Unfortunately, I'm terrible at math and basic theory. And I cannot find the relevant code.
So I want to ask if anyone has done any research that can give some help.
Thank you!
allow mxOption to get as well as set
mxOption(m1, key="Number of Threads")
and
mxOption(m1)
Both fail (no value, no key errors, respectively)
It would be nice if asking for a key returned its value, and asking about a model returned the currently active options
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diag()
diag <- function(x=1, nrow, ncol) {
message("We’re a bit worried that diag can be ambiguous, so we’ve broken it into multiple new functions...")
# then either say
stop("You need to choose among list up our replacement functions to handle everything that diag() does...")
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Many many submodels (how S4 builds objects and a request to run lists of models)
I'm trying to run the same model on 500 (or some other large n) datasets with the independence flag set to TRUE. I'm doing this by creating one model per dataset, building a list of mxModels, then putting this list into a single mxModel for optimization. However, I'm spending most of my time the fourth line of this code:
singScore <- transformFactorScores(spRes, 1, "mu", "sigma", "epsilon")
Cholesky Matrix Function
dpbtrf could be used: SUBROUTINE DPBTRF( UPLO, N, KD, AB, LDAB, INFO )
and that it wouldn't be too hard to add this to the list of omxAlgebraFunctions.c - but that it would be harder for me than for say Tim Brick to do this. I made a start but have been hauled off to do other frantically urgent things. I suspect we need to tell the algebra cruncher routine the priority of this operation also.
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Improve performance of R front end of OpenMx
This thread caught my eye: http://www.r-bloggers.com/the-new-r-compiler-package-in-r-2-13-0-some-first-experiments/
Is it worth trying to compile some bits of the OpenMx frontend to improve performance there?
mxCompare: make comparison optional
> mxCompare2(fit1)
base comparison ep minus2LL df AIC diffLL diffdf p
1 ACE_Non_ScSL_Cor_a
Currently it would error: Comparison model missing.
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Correct behavior for 'all=TRUE' for symmetric paths.
AIC(fit1)
AIC(fit1)
Error in UseMethod("logLik") :
no applicable method for 'logLik' applied to an object of class "MxModel"
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