Description Usage Arguments Value
View source: R/likBiv.N_functions.R
This is the log likelihood function when both x and y are uncensored for bivariate, normally distributed data.
1  | bothUncen.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 sum would be log likelihood function if completely uncensored.
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