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Update README.md
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Polkas authored Feb 3, 2025
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Expand Up @@ -65,8 +65,8 @@ mice::complete(mice::mice(air_miss, printFlag = FALSE))

- **Object-Oriented Interface** via `miceFast` objects (Rcpp modules).
- **Convenient Helpers**:
- `fill_NA()`: Single imputation (LDA, `lm_pred`, `lm_bayes`, `lm_noise`).
- `fill_NA_N()`: Multiple imputations (PMM, `lm_bayes`, `lm_noise`).
- `fill_NA()`: Single imputation (`lda`, `lm_pred`, `lm_bayes`, `lm_noise`).
- `fill_NA_N()`: Multiple imputations (`pmm`, `lm_bayes`, `lm_noise`).
- `VIF()`: Variance Inflation Factor calculations.
- `naive_fill_NA()`: Automatic naive imputations.
- `compare_imp()`: Compare original vs. imputed values.
Expand All @@ -77,8 +77,8 @@ mice::complete(mice::mice(air_miss, printFlag = FALSE))
| Function | Description |
|-----------------|-----------------------------------------------------------------------------|
| `new(miceFast)` | Creates an OOP instance with numerous imputation methods (see the vignette). |
| `fill_NA()` | Single imputation: LDA, `lm_pred`, `lm_bayes`, `lm_noise`. |
| `fill_NA_N()` | Multiple imputations (N repeats): PMM, `lm_bayes`, `lm_noise`. |
| `fill_NA()` | Single imputation: `lda`, `lm_pred`, `lm_bayes`, `lm_noise`. |
| `fill_NA_N()` | Multiple imputations (N repeats): `pmm`, `lm_bayes`, `lm_noise`. |
| `VIF()` | Computes Variance Inflation Factors. |
| `naive_fill_NA()` | Performs automatic, naive imputations. |
| `compare_imp()` | Compares imputations vs. original data. |
Expand All @@ -98,4 +98,4 @@ Benchmark testing (on R 4.2, macOS M1) shows **miceFast** can significantly redu

![](man/figures/g_summary.png)

For more details, refer to the [`performance_validity.R` file](extdata/performance_validity.R) in the `extdata` folder.
For more details, refer to the [`performance_validity.R` file](extdata/performance_validity.R) in the `extdata` folder.

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