View source: R/BD_EM_inference_helpers.R
In Louis' 82 formula for the information of partially observed data, the last term is the gradient-squared of the partial data likelihood. It doesn't have to be calculated because it's 0 at the MLE, but it's coded here for debugging purposes.
1 | BDPOloglikeGradSqr.CTMC_PO_many(partialDat, L, m, beta, n.fft = 1024)
|
partialDat |
CTMC_PO_many. |
L |
lambda at which to calculate information; usually MLE. |
m |
mu at which to calculate information; usually MLE. |
beta |
known constant defining nu via nu=beta*lambda. |
n.fft |
deprecated unused. |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.