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Fitting a Cholesky model (10 genetic and 10 residual parameters) to the data using 4 cores, sharing memory across 24 cores, required 34h using R MKL 3.6.3. Therefore, the model was pre-fitted and saved (`fit.large.RData`) to illustrate `grmsem` follow-up functions. Note that some output has been omitted for clarity.
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Fitting a Cholesky model (10 genetic and 10 residual parameters) to the data using 4 cores, sharing memory across 24 cores, required 34h using R MKL 3.6.3. Therefore, the model was pre-fitted and saved (`fit.large.RData`) to illustrate `grmsem` follow-up functions. Note that some output has been omitted for clarity.
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#fit <- gsem.fit(ph.large, G.large, LogL = TRUE, estSE = TRUE)
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#fit <- gsem.fit(ph.large, G.large, LogL = TRUE, estSE = TRUE)
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