Description Usage Arguments Value
Estimates beta, knowing epsilon and delta, by maximum likelihood.
1 2 | estibetaML(x, a, epsilon, delta, phi = expit, dphi = dexpit,
phiinv = expitinv, maxit = 3)
|
x |
A matrix of covariates of dimension n x p |
a |
A vector a of 0s and 1s of dimension n |
epsilon |
A real number between 0 and 1 such that |
delta |
A real number between 0 and 1 |
phi |
A function that maps the real line onto the interval (0,1) |
dphi |
The derivative of |
phiinv |
The inverse of |
maxit |
The maximum number of iterations to be performed. |
a real number between 0 and 1
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