da.gauss2: Calculate POSTERIOR MEAN - DA + MCMC
In itamuria/LRErdd: Regression Discontinuity Designs as Local Randomized Experiments
Description
Usage
Arguments
Value
Description
Calculate POSTERIOR MEAN - DA + MCMC
Usage
1
da.gauss2(theta, dat)
Arguments
theta
theta
tol
tol
Value
result. Impute missing compliance statuses under the null, ## Z=0 & W=0 (NT+C)
itamuria/LRErdd documentation built on May 6, 2019, 8:03 p.m.
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Description Usage Arguments Value
Description
Calculate POSTERIOR MEAN - DA + MCMC
Usage
1 | da.gauss2(theta, dat)
|
Arguments
theta |
theta |
tol |
tol |
Value
result. Impute missing compliance statuses under the null, ## Z=0 & W=0 (NT+C)
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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