yOnlyCen.N: Log Likelihood Function y Only Censored Normal

Description Usage Arguments Value

View source: R/likBiv.N_functions.R

Description

This is the portion of the log likelihood function when the y variable is cesnored and the x varaible isn't censored for bivariate, normally distributed data.

Usage

1
yOnlyCen.N(thetaI, cenData)

Arguments

thetaI

vector of parameters to optimize untransformed such that c( xmu, ymu, xsig, ysig, 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

Vector whose to be summed for this portion of the log liklihood function.


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