logd: Log-density and its derivative values
In nspmix: Nonparametric and Semiparametric Mixture Estimation

logd	R Documentation

Log-density and its derivative values

A generic method to compute the log-density values and possibly their first derivatives with respec to theta and beta.

logd(x, beta, pt, which)

`x`	an object of a class for data.
`beta`	instrumental parameter in a semiparametric mixture.
`pt`	a vector of values for the mixing variable theta.
`which`	an integer vector of length 3, indicating if, respectively, the log-density values, the derivatives wrt beta and the derivatives wrt theta are to be computed and returned if being 1 (`TRUE`).

`ld`	a matrix, storing the log-density values for each (x[i], beta, pt[j], or NULL if not asked for.
`db`	a matrix, storing the log-density derivatives wrt beta for each (x[i], beta, pt[j], or NULL if not asked for.
`dt`	a matrix, storing the log-density derivatives wrt theta for each (x[i], beta, pt[j], or NULL if not asked for.