em_gauss_lap: EM Algorithm Estimator for Gaussian-Laplace Model

In kota7/rddsigma: Sharp Regression Discontinuity Design with Running Variable Measured with Errors

EM Algorithm Estimator for Gaussian-Laplace Model

Description

old version. kept for debugging.

Usage

em_gauss_lap(d_vec, w_vec, cutoff, reltol = 1e-06, maxit = 200L,
  integrate_options = list(), quiet = FALSE, ...)

Arguments

d_vec	binary integer vector of assignment
w_vec	numeric vector of observed running variable
cutoff	threshold value for assignment
reltol	relative tolerance requied
maxit	maximum number of iteration
integrate_options	controls to pass to integrate
quiet	if false, progress is reported
...	currently not used

Examples

## Not run: 
dat <- gen_data(500, 0.2, 0)
em_gauss_lap(dat$d, dat$w, 0)

## End(Not run)

kota7/rddsigma documentation built on June 14, 2025, 11:08 a.m.