FIM_2par_exp_censor1

Vector of design weight. Its length must be equal to the length of <code>x</code> and <code>sum(w) = 1</code>.

Vector of values for the model parameters \(c(\beta_0, \beta_1)\).

param

The experiment is terminated at the fixed time point <code>tcensor</code>.

tcensor

It provides the cpp function for the FIM introduced in Eq. (3.1) of Schmidt and Schwabe (2015) for type one censored data.

Finds optimal designs for nonlinear models using a metaheuristic algorithm called Imperialist Competitive Algorithm (ICA). See, for details, Masoudi et al. (2017) <doi:10.1016/j.csda.2016.06.014> and Masoudi et al. (2019) <doi:10.1080/10618600.2019.1601097>.

Ehsan Masoudi

FIM_2par_exp_censor1: Fisher Information Matrix for a 2-Parameter Cox Proportional-Hazards Model for Type One Censored Data

Description

Usage

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Value

References