Change default values for initial.predictor.method

smartdata-analysis-and-statistics / precmed

A doubly robust precision medicine approach to estimate and validate conditional average treatment effects

https://smartdata-analysis-and-statistics.github.io/precmed/

Apache License 2.0

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Change default values for initial.predictor.method #32

Closed NightlordTW closed 1 year ago

NightlordTW commented 1 year ago

Functions that have initial.predictor.method as argument currently use default values that are rather time consuming (e.g., boosting, or randomForest). Lets replace them by faster alternatives:

For survival outcomes, lets set initial.predictor.method = "logistic" by default
For count outcomes, let set initial.predictor.method = "poisson" by default
For continuous outcomes, lets set initial.predictor.method = "gaussian" by default

NightlordTW commented 1 year ago

feedback Gabrielle: keep the original values (randomforest and boosting); this offers more robust value as benchmark. We can manually change this for the examples