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R/R_mstep2.R
In GPvam: Maximum Likelihood Estimation of Multiple Membership Mixed Models Used in Value-Added Modeling
Defines functions
R_mstep2
R_mstep2 <- function(invsqrtW_,JYp_,loopsize_, patternlength_,rownumber_,ybetas_,etahat_,
tempmatR_,JXpi_,JXpp_,JXpx_,JXpdim_,JZpi_,JZpp_,JZpx_,JZpdim_){
.Call( "R_mstep_cpp",invsqrtW_,JYp_,loopsize_, patternlength_,rownumber_,ybetas_,etahat_,
tempmatR_,JXpi_,JXpp_,JXpx_,JXpdim_,JZpi_,JZpp_,JZpx_,JZpdim_)
}
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GPvam documentation built on Jan. 8, 2023, 1:10 a.m.
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Defines functions R_mstep2
R_mstep2 <- function(invsqrtW_,JYp_,loopsize_, patternlength_,rownumber_,ybetas_,etahat_,
tempmatR_,JXpi_,JXpp_,JXpx_,JXpdim_,JZpi_,JZpp_,JZpx_,JZpdim_){
.Call( "R_mstep_cpp",invsqrtW_,JYp_,loopsize_, patternlength_,rownumber_,ybetas_,etahat_,
tempmatR_,JXpi_,JXpp_,JXpx_,JXpdim_,JZpi_,JZpp_,JZpx_,JZpdim_)
}
Try the GPvam package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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