sd_on: d^2/dsigma^2^2

In SIMICO: Set-Based Inference for Multiple Interval-Censored Outcomes

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.

SIMICO documentation built on Nov. 26, 2022, 1:06 a.m.