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Deleted all Vignette references
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mcaceresb committed May 21, 2024
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1 change: 0 additions & 1 deletion .Rbuildignore
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^LICENSE\.md$
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vignettes/precompute.R
2 changes: 0 additions & 2 deletions DESCRIPTION
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Provides functions to conduct robust inference in difference-in-differences and event study designs by implementing the methods developed in Rambachan & Roth (2023, RESTUD), "A More Credible Approach to Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is conducted under a weaker version of the parallel trends assumption. Uniformly valid confidence sets are constructed based upon conditional confidence sets, fixed-length confidence sets and hybridized confidence sets.
Encoding: UTF-8
LazyData: true
VignetteBuilder:
knitr
License: MIT + file LICENSE
4 changes: 1 addition & 3 deletions README.Rmd
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Expand Up @@ -283,9 +283,7 @@ HonestDiD::createSensitivityPlot_relativeMagnitudes(sensitivity_results$robust_c

## Additional options and resources

See the previous package [vignette] for additional examples and package options, including incorporating sign and monotonicity restrictions, and combining relative magnitudes and smoothness restrictions.

You can also view a video presentation about this paper [here](https://www.youtube.com/watch?v=6-NkiA2jN7U).
You can view a video presentation about this paper [here](https://www.youtube.com/watch?v=6-NkiA2jN7U).

## Authors

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7 changes: 1 addition & 6 deletions README.md
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Expand Up @@ -592,12 +592,7 @@ HonestDiD::createSensitivityPlot_relativeMagnitudes(sensitivity_results$robust_c

## Additional options and resources

See the previous package \[vignette\] for additional examples and
package options, including incorporating sign and monotonicity
restrictions, and combining relative magnitudes and smoothness
restrictions.

You can also view a video presentation about this paper
You can view a video presentation about this paper
[here](https://www.youtube.com/watch?v=6-NkiA2jN7U).

## Authors
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167 changes: 0 additions & 167 deletions vignettes/precompute.R

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