Calculates the Information matrix term of I_eta gamma for outcomes l and m
gammatheta_off(l,m, HL_array, HR_array, xAll, apply_diffs, temp_beta,
A_i, no_l_all, no_two_all, gMat, a1, a2, k, d)The output is a matrix containing the component of the information matrix of the gamma and theta parameters for outcomes l and m.
Index of first outcome of interest.
Index of second outcome of interest.
n x k matrix containing all the hazard values for the left times.
n x k matrix containing all the hazard values for the right times.
List of design matrices and censoring terms.
Matrix containing the differences between survival functions of the left and right time intervals.
vector of fitted coefficients.
Product of apply_diffs across all outcomes K summed over all quadrature nodes d.
n x (k - 1) matrix containing the product of apply_diffs across all outcomes k excluding the current outcome l.
n x (k - 2) matrix containing the product of apply_diffs across all outcomes k excluding the outcomes l and m.
n x q matrix of genetic information.
First shape parameter of beta parameter.
Second shape parameter of beta parameter.
Total number of outcomes.
Number of quadrature nodes.