st_off: d^2/d_theta_ldsigma^2

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

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.

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