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- read code
- read roxygen help
- correct errors in both and extend docs a bit
- add section in tutorial to explain how it works
these are the files:
- Impute.R
- ImputeMethods.R
- PreprocImputeWrapp…
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Double check whether the multiple formula is accounted for in create_imputed_dataset and impute_all module.
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Some commodities has the possibility for multiple formulas (e.g. production in different unit).
Imputation should not impute multiple formula, as it may result in inconsistency among formulas.
The i…
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Taxcalc currently requires an extrapolated dataset based off of the IRS public use file (PUF), in particular the 2008 -- soon 2009 -- PUF. This dependency on the PUF may prevent many potential users o…
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Theoretically, given the length of time series is from 1999 to 2015, which has a length of 17. All values that can not be imputed should be a multiple of this.
In addition, it seems the cattle meat d…
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There are time series which has only a single observation.
Technically, we can impute the series with a single variable, but the question is whether we should or not.
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This works:
```
ggplot(x, aes(x='fraction_missing', y = 'score', color='imputation')) + geom_line() + facet_wrap('base_estimator','dataset')
```
But this fails:
```
ggplot(x, aes(x='fraction_missi…
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Imputation should give missing value or warning, since there is no data to impute on.
Check commodity "0143"!
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```
orchard_2015 %>% filter(Temp_C_Avg < -30)
Source: local data frame [164 x 10]
when Temp_C_Avg WSpd_mps Wdir_deg RH_per_Avg Press_mb_Avg PAR_Den_Avg PAR_Tot_Avg
…
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I'm a big fan of the `Amelia` package for multiple imputation (though should also look at `mice`). It is not easy to fit multilevel models to `Amelia` objects outside of the `Zelig` package. Add some …