Saves a json prediction settings given R settings

savePredictionAnalysisList(workFolder = "inst/settings", cohortIds,
  outcomeIds, cohortSettingCsv = file.path(workFolder, "CohortsToCreate.csv"),
  covariateSettingList, populationSettingList, modelSettingList,
  maxSampleSize = NULL, washoutPeriod = 0, minCovariateFraction = 0,
  normalizeData = T, testSplit = "person", testFraction = 0.25,
  splitSeed = 1, nfold = 3)

Arguments

workFolder

Location to save json specification

cohortIds

Vector of target population cohort ids

outcomeIds

Vector of outcome cohort ids

cohortSettingCsv

The location to the csv containing the cohort details

covariateSettingList

A list of covariate settings

populationSettingList

A list of population settings

modelSettingList

A list of model settings

maxSampleSize

If not NULL then max number of target population to sample for model training

washoutPeriod

Minimum prior observation for each person in target pop to be included

minCovariateFraction

Minimum covariate fraction to include

normalizeData

Whether to normalise data

testSplit

Split by person or time

testFraction

Fractiuon of data to use for test set

splitSeed

Seed used in test split

nfold

Number of folds used when training model

Details

This function interprets a json with the multiple prediction settings and creates a list that can be combined with connection settings to run a multiple prediction study