FindMLE_CONT_H0_hypergeoR {noncompliance} | R Documentation |
Maximum Likelihood Estimate under the sharp null for Compliers.
Description
Find the maximum likelihood estimate of the 2 by 4 contingency table assuming only Compliers and Never Takers in the population, under the sharp null for Compliers and with the multivariate hypergeometric sampling distribution.
Usage
FindMLE_CONT_H0_hypergeoR(n_y0x0z0, n_y1x0z0, n_y0x0z1, n_y1x0z1, n_y0x1z1,
n_y1x1z1)
Arguments
n_y0x0z0 |
Number of individuals with Y=0, X=0, Z=0. |
n_y1x0z0 |
Number of individuals with Y=1, X=0, Z=0. |
n_y0x0z1 |
Number of individuals with Y=0, X=0, Z=1. |
n_y1x0z1 |
Number of individuals with Y=1, X=0, Z=1. |
n_y0x1z1 |
Number of individuals with Y=0, X=1, Z=1. |
n_y1x1z1 |
Number of individuals with Y=1, X=1, Z=1. |
Value
The maximum likelihood under the sharp null for Compliers, and the corresponding (possibly non-unique) 2 by 4 contingency table.
Examples
FindMLE_CONT_H0_hypergeoR(158, 14, 52, 12, 23, 78)
[Package noncompliance version 0.2.2 Index]