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mbg-unsw authored Jun 30, 2024
2 parents 3323c48 + afb61a2 commit 199d8de
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -35,13 +35,16 @@ fit_r <- ranwtdttt(data = df,

summary(fit_r)
```
Please see [examples.R](sandpit/examples.R) for more.

## More

### Known bugs

Robust variance calculation, used by default in the randwtdttt() function, is very slow. We are working on improving this.

Other planned improvements are listed in [TODO](sandpit/TODO)

### Bug reports, feature requests etc.

This is a young project with some rough edges. Please submit any bug reports, feature request and comments as a Github issue.
Expand All @@ -57,6 +60,8 @@ The package was developed by:
* Malcolm Gillies
* Olga Paoletti

Thank you to Jesper Hallas for kindly allowing us to reproduce the synthetic dispensing data in the `drugpakud.dta` dataset.

### License

Rwtdttt is licensed under the GNU General Public License, Version 3.
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60 changes: 0 additions & 60 deletions sandpit/d1functions.R

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2 changes: 1 addition & 1 deletion sandpit/examples.R
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Expand Up @@ -373,4 +373,4 @@ fit1 <- ranwtdttt(data = df2,
subset = atc=='A10AC01'&!is.na(ddd), reverse=T, nsamp=5,
parameters=list(mu~log(ddd))
)
summary(fit1)
summary(fit1)
31 changes: 0 additions & 31 deletions sandpit/good_practises.R

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6 changes: 0 additions & 6 deletions sandpit/mlwtdttt_lnorm.R

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94 changes: 0 additions & 94 deletions sandpit/sand_test_HS.R

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80 changes: 0 additions & 80 deletions sandpit/sandwich_estimation_code_malcolm.R

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