E.step.gauss2: Calculate MLE - EM
In itamuria/LRErdd: Regression Discontinuity Designs as Local Randomized Experiments
Description
Usage
Arguments
Value
Description
Calculate MLE - EM
Usage
1
E.step.gauss2(theta, dat)
Arguments
theta
theta
dat
dat
Value
result. We use Conditional probabilities using Bayes' Rule and we calculate the Expected compliance behavior
itamuria/LRErdd documentation built on May 6, 2019, 8:03 p.m.
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Description Usage Arguments Value
Description
Calculate MLE - EM
Usage
1 | E.step.gauss2(theta, dat)
|
Arguments
theta |
theta |
dat |
dat |
Value
result. We use Conditional probabilities using Bayes' Rule and we calculate the Expected compliance behavior
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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