neg_log_like: Compute the Negative Log-Likelihood for the Interval-Censored...

In iclogcondist: Log-Concave Distribution Estimation with Interval-Censored Data

Compute the Negative Log-Likelihood for the Interval-Censored Model

Description

This function computes the negative log-likelihood of an interval-censored model based on the specified parameterization.

Usage

neg_log_like(x, weight, li, ri, L_Rc, Lc_R, Lc_Rc, type = "", tau_no_Inf)

Arguments

x	A numeric vector of parameter estimates (can be in terms of phi, or F).
weight	A numeric vector of weights for the observations.
li	A numeric vector of indices corresponding to the left bounds of the intervals in tau_no_Inf.
ri	A numeric vector of indices corresponding to the right bounds of the intervals in tau_no_Inf.
L_Rc	Indices of observations where the event is in the intersection of L group and the complement of R group. The L group consists of samples with left intervals time <= min(all right intervals time). The R group consists of samples with infinity right interval time.
Lc_R	Indices of observations where the event is in the intersection of the complement of L group and R group.
Lc_Rc	Indices of observations where the event is in the intersection of the complement of L group and the complement of R group.
type	A character string indicating the parameterization of x. Options are "phi" (log of F), or "F".
tau_no_Inf	A numeric vector of unique time points excluding infinity.

Value

The negative log-likelihood value.

iclogcondist documentation built on April 4, 2025, 5:18 a.m.