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An R package for performing patient level prediction in an observational database in the OMOP Common Data Model.

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**Describe the bug** RunPlp failed with exception ``` finished MapCovariates toSparseM non temporal used finishing toSparseM Sourcing python code Converting to python data Applying Variable Importance Using Random Forest to...

**Is your feature request related to a problem? Please describe.** Currently, the smooth calibration functions only assume binary outcomes. **Describe the solution you'd like** Add a function that generates the...

enhancement

Hey, We are trying to train a COX PLP model to predict the risk of recurrence within 3 years of colorectal cancer surgery. We have designed the cohorts in ATLAS,...

fixed in develop

**Describe the bug** I am using the `develop` branch. When I run `predictPlp` using an existing model on new data with a pre-specified timepoint (I made sure it was smaller...

fixed in develop

Hi, I am trying to use predictPlp() to create predictions on a test cohort on PLP v5.0.5. However the run is hanging and the predictions are never generated. Could you...

The PatientLevelPrediction package updates make it easy to add R classifies into the package. It would be useful to add Logistic Regression with enet into the package.

enhancement

I have tested it on a database with multiple cohort subgroups. The external validation results are saved and can be displayed correctly in the Shiny app.

**Describe the bug** This may not be considered a bug because this type of functionality may not be anticipated during the design of this function. A single model can be...

group discussion needed

The PLP validation skeleton contains code to create a plpModel version of any GLM that has been developed outside of PatientLevelPrediction (see https://github.com/OHDSI/SkeletonPredictionValidationStudy/blob/main/extras/addModel.R ) - This should be added to...

enhancement
group discussion needed

- [fixed] add checkmate to check all inputs for PLP - use roxygen templates for common inputs to use standard terminologies (should we have OHDSI specific templates)?

good first issue