likBiv.N: Likelihood Function for Normal Left Censored Data

Description Usage Arguments Value

View source: R/likBiv.N_functions.R

Description

This function is the maximum likelihood function of bivariate, normally distributed, left censored data.

Usage

1
likBiv.N(thetaT, cenData)

Arguments

thetaT

transformed vector of parameters to optimize such that c(xmu, ymu, log(xsig), log(ysig), tanh(r)).

cenData

matrix of data in which first two columns hold data values for x and y and the second two columns hold flags for censoring such that 1 implies censored and 0 implies not censored.

Value

calculated maximum likelihood function for optimazation using optim.


senresearch/lcest documentation built on Jan. 14, 2022, 5:29 p.m.