| augment.oomglm | augment data with prediction, std error, and residuals |
| augment.oomlm | augment data with prediction, std error, and residuals |
| BoundedQr | Algorithm AS 274: Least Squares Routines to Supplement Those... |
| coef.Rcpp_BoundedQr | Wrapper for 'BoundedQr' method 'betas' |
| deparse2 | lifted as-is from 'stats' |
| fit.oomglm | Fit 'oomglm' model via Iteratively Reweighted Least Squares... |
| fit.oomlm | Fit 'oomlm' model to additional observations |
| get_oomdata | Internal. Extract information from 'oomdata' function |
| glance.oomlm | Returns a tibble with exactly one row of goodness of fitness... |
| glm_adjust | Internal. Apply Generalized Linear Model transformations to... |
| init_oomdata | Internal. Construct 'oomdata' record |
| init_oomglm | Internal. Initialize Out of memory Generalized Linear... |
| init_oomlm | Internal. Initialize Updating Linear Model |
| init_oomlm_robust | Internal. Initialize generalized linear model with robust... |
| init_weight | Reweighting functions that comprise an IRLS iteration |
| iter_weight | Fit 'oomglm' model via Iteratively Reweighted Least Squares... |
| model_frame | Lifted from 'stats'. modified to be faster and less robust |
| model_frame_tibble | return model_frame value as tibble |
| model_matrix | Lifted from 'stats'. modified to be faster and less robust |
| model_offset | Lifted from 'stats'. modified to be faster and less robust |
| model_response | Lifted from 'stats'. modified to be faster and less robust |
| new_bounded_qr | Initialize new 'BoundedQr' object |
| oomdata_dbi | Iterate over 'tibble', 'DBIResult' or 'connection' in chunks. |
| oomglm | Out of memory Generalized Linear model |
| oomlm | Out of memory Linear model |
| oomlm_robust | Out of memory Linear model with robust standard errors |
| predict | Predict values using 'oomlm' and 'oomglm' models |
| predict_oomglm | Internal. Return function that will predict and format output |
| predict_oomglm_x | Internal. Perform 'oomglm' prediction |
| predict_oomlm | Internal. Return function that will predict and format output |
| predict_oomlm_x | Internal. Perform 'oomlm' prediction |
| Rcpp_BoundedQr-class | Class for out of memory QR factorization |
| reexports | Objects exported from other packages |
| residuals | Calculate residuals for 'oomlm' and 'oomglm' models |
| residuals_oomglm | Internal. Wrapper for unpacking data and calculating... |
| residuals_oomglm_x | Internal. Calculate residuals of 'oomglm' model. |
| residuals_oomlm | Internal. Wrapper for unpacking data and calculating... |
| residuals_oomlm_x | Internal. Calculate residuals of 'oomlm' model |
| sandwich_rcov_biglm | Hubert/White sandwich vcov implementation for updating linear... |
| tidy.oomdata | Tidy an 'oomdata' function |
| tidy.oomlm | Tidy an oomlm model |
| unpack_oomchunk | Extract elements from data for updating |
| update_oomdata | Internal. Update 'oomdata' function record |
| update_oomglm | Internal. Update 'oomglm' object with additional observations |
| update.Rcpp_BoundedQr | Wrapper for 'BoundedQr' method 'update' |
| update_sandwich | Update HC sandwich estimator |
| vcov.Rcpp_BoundedQr | Wrapper for 'BoundedQr' method 'vcov' |
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