[Gmm-commits] r160 - pkg/causalGel/vignettes
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Wed Dec 4 18:26:25 CET 2019
Author: chaussep
Date: 2019-12-04 18:26:24 +0100 (Wed, 04 Dec 2019)
New Revision: 160
Modified:
pkg/causalGel/vignettes/causalGel.Rnw
pkg/causalGel/vignettes/causalGel.pdf
Log:
fixed error in the vignette
Modified: pkg/causalGel/vignettes/causalGel.Rnw
===================================================================
--- pkg/causalGel/vignettes/causalGel.Rnw 2019-12-04 16:32:33 UTC (rev 159)
+++ pkg/causalGel/vignettes/causalGel.Rnw 2019-12-04 17:26:24 UTC (rev 160)
@@ -127,6 +127,7 @@
\date{\today}
<<extract, message=FALSE, warning=FALSE, echo=FALSE>>=
+library(causalGel)
library(texreg)
setMethod("extract", "causalGelfit",
function(model, includeSpecTest=FALSE,
@@ -675,6 +676,19 @@
checkConv(fit)
@
+It compares sample moments of $\mu(X)$ for each group, using the
+estimated implied probabilities. We can then see if the balancing was
+achieved. As an example, the first column is $[\sum_{i=1}^n
+ \phat_i(1-Z_i)\mu(X_i)]/[\sum_{i=1}^n \phat_i(1-Z_i)]$, and the
+second column is $[\sum_{i=1}^n \phat_iZ_i\mu(X_i)]/[\sum_{i=1}^n
+ \phat_iZ_i]$, which are respectively estimates of $\Ex(\mu(X)|Z=0)$
+and $\Ex(\mu(X)|Z=1)$. We can see that the moments are well balanced,
+at least up to six decimals.
+
+\section{The aceGEL function}
+
+
+
\bibliography{causal}
\appendix
Modified: pkg/causalGel/vignettes/causalGel.pdf
===================================================================
(Binary files differ)
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