shuyang-stat / multilevelmatching Goto Github PK
View Code? Open in Web Editor NEWPropensity score Matching and Subclassification with 3 or more Treatments
Home Page: https://shuyang1987.github.io/multilevelMatching/
Propensity score Matching and Subclassification with 3 or more Treatments
Home Page: https://shuyang1987.github.io/multilevelMatching/
correct links in roxygen are, e.g., \code{\link[lme4]{glmer}}
I typically use codecov
some s3 would be nice, e.g., print()
. summary()
, etc.
multiMatch()
function as well as description of legacy functionsNeed to setup Travis CI via: https://travis-ci.org/shuyang1987/multilevelMatching
Migrating this issue from BarkleyBG#8
the variance estimator for matching on estimated propensity scores from multinomial logistic regression was discussed in 2012, but the best reference is:
Abadie, Alberto, and Guido W. Imbens. "Matching on the estimated propensity score." Econometrica 84.2 (2016): 781-807.
please add a DOI, arXiv or ISBN to your reference in your Description text in the form
authors (year) doi:...
authors (year) arXiv:...
authors (year, ISBN:...)
with no space after 'doi:', 'arXiv:' and angle brackets for auto-linking.
This repo will be in "maintenance mode" for a bit as it's going through some changes.
I'll be the new maintainer until further notice. I'll mark a change in the package description and (at least temporarily) in the README
Edit for clarity; explain difference between the new multiMatch()
function and the "legacy" functions: multilevelGPSMatch()
and multilevelMatchX()
Merge over the commits from my fork. This includes the new function multiMatch()
which implements all 3 types of matching: on covariates, and existing or estimated propensity scores. (i.e., everything but GPS stratification)
The code report error when i run the function multiMatch. The dataset i use is simulated_data of the package. Could you please take a look at the code file, and repare. Thank you so much.
Error in length(class(X)) != 1 && class(X) != "matrix" :
'length = 2' in coercion to 'logical(1)'
As in BarkleyBG#9
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