bothCen.N: Log Likelihood Function Both Censored Normal
In senresearch/lcest: Left Censored Estimates

This is the portion of the log likelihood function when both x and y are censored for bivariate, normally distributed data.

1	bothCen.N(thetaI, cenData)

`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.

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

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