Nothing
guarantee_rank_condition
to simulateData()
to provide option to ensure that final design matrix has full column rank.fetwfe()
.twfeCovs()
(implementation of two-way fixed effects with covariates)twfeCovsWithSimulatedData()
(analogous to fetwfeWithSimulatedData()
)btwfe()
(implementation of bridge-penalized extended two-way fixed effects)btwfeWithSimulatedData()
(analogous to fetwfeWithSimulatedData()
)etwfe()
(implementation of extended two-way fixed effects)etwfeWithSimulatedData()
(analogous to fetwfeWithSimulatedData()
)attgtToFetwfeDf()
(converts data.frame formatted for did::att_gt()
to format required for fetwfe()
and fewtfe::etwfe()
ewtfeToFetwfeDf()
(converts data.frame formatted for etwfe::etwfe()
to format required for fetwfe()
and fetwfe::etwfe()
fetwfe()
.genCoefsCore()
and simulateDataCore()
for export, and add tests for them. (Though these more flexible functions are now available, emphasis for end users will still be on using wrapper functions genCoefs()
and simulateData()
.)genCoefs()
to a wrapper function that creates an object that can be piped into simulateData()
, itself a new wrapper function for the function that was previously called genRandomData()
. The output of simulateData()
can then be piped into another new wrapper function, fetwfeWithSimulatedData()
.add_ridge
to fetwfe()
, which adds a ridge regularization term to the (untransformed) coefficients in estimation, similarly to the elastic net.getTes()
to get treatment effects from a vector of coefficients generated by genCoefs()
and/or estimated on data generated from genRandomData()
.genRandomData()
, for generating random panel data suitable for fetwfe()
, and genCoefs()
, which generates a random vector of coefficients that is needed as an input to genRandomData()
.lambda.max_model_size
message()
instead of print()
, and modified code so that all messages are suppressed when the argument verbose
is FALSE..Rbuildignore
to conform with CRAN requirements.fetwfe
package implementing the Fused Extended Two-Way Fixed Effects estimator.Any scripts or data that you put into this service are public.
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