llhood1: log likelihood of bivariate probit with partial observability

In BiProbitPartial: Bivariate Probit with Partial Observability

Description

log likelihood of bivariate probit with partial observability

Usage

llhood1(theta, X1, X2, Z, rho = 0, p = NULL, summed = T,
  fixrho = F)

Arguments

theta	numeric vector of dimension equal to that of the free parameter space
X1	numeric matrix of covariates for the first equation
X2	numeric matrix of covariates for the second equation
Z	numeric matrix or column vecotr of response observations
rho	numeric value for rho if fixed
p	numeric precomputed probabilities of Pr(Y1=1,Y2=1)
summed	logical if the log likelihood observations should be summed
fixrho	logical if rho should be fixed

Value

if summed is TRUE then the function returns the numeric sum of the likelihood vector, else it returns a numeric vector with each entry a value of the likelihood vector

BiProbitPartial documentation built on May 2, 2019, 1:48 p.m.