sd_on {SIMICO}

d^2/dsigma^2^2

Description

Calculates the Information matrix term of I_sigma^2 sigma^2 for outcome l.

Usage

sd_on(l, k, temp_beta, phen, d, apply_diffs, A_i,
   no_l_all, HL_array, HR_array)

Arguments

l

Index of first outcome of interest.

k

Total number of outcomes.

temp_beta

vector of fitted coefficients.

phen

List containing the left and right design matrices and interval times for outcome l.

d

Total number of quadrature nodes.

apply_diffs

Matrix containing the differences between survival functions of the left and right time intervals.

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.

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.

Value

The output is a single value for the second derivative with respect to sigma.