View source: R/models__glm__glm_gradhess.R
Be aware that this will give k–by-1 matrix
1 | gradient_xi_condi(B, Sigma, x, xi, l0, l, link, gradient.prior.xi)
|
B |
NA |
Sigma |
NA |
x |
NA |
xi |
NA |
l0 |
NA |
l |
NA |
link |
NA |
gradient.prior.xi |
NA |
Y |
NA |
n0 |
NA |
S0 |
NA |
ka |
NA |
gradient.prior.Sigma |
NA |
gradient.prior.vecB |
NA |
Params |
NA |
hessMethod |
NA |
callParam |
NA |
splineArgs |
NA |
priorArgs |
NA |
Params_Transform |
NA |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.