| st_off {SIMICO} | R Documentation |
d^2/d_theta_ldsigma^2
Description
Calculates the Information matrix term of I_eta theta for one outcome of interest l.
Usage
st_off(l, HL_array, HR_array, xAll, apply_diffs,
temp_beta, A_i, no_l_all, no_two_all, k, d)
Arguments
l |
Index of first outcome of interest. |
HL_array |
n x k matrix containing all the hazard values for the left times. |
HR_array |
n x k matrix containing all the hazard values for the right times. |
xAll |
List containing the left and right matrices and event times. |
apply_diffs |
Matrix containing the differences between survival functions of the left and right time intervals. |
temp_beta |
vector of fitted coefficients. |
A_i |
Product of apply_diffs across all outcomes K summed over all quadrature nodes D. |
no_l_all |
n x (k - 1) matrix containing the product of apply_diffs across all outcomes k excluding the current outcome l. |
no_two_all |
n x (k - 2) matrix containing the product of apply_diffs across all outcomes k excluding outcomes l and m. |
k |
Total number of outcomes. |
d |
Number of quadrature nodes. |
Value
The output is a matrix containing the component of the information matrix of the theta eta parameters for outcome l.