Calculates the [off-diagonal] Information matrix term for I_gamma gamma with respect to outcome l and outcome m.
gamma_off(l, m, HL_array, HR_array,
tpos_all, obs_all, 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 parameter 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.
n x k matrix containing a indictor for whether that time is left-censored or not.
n x k matrix containing a indictor for whether that time is right-censored or not.
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.