Generated predictions from a regression model
predictFfdf(coefficients, population, covariates, modelType = "logistic")A names numeric vector where the names are the covariateIds, except for the first value which is expected to be the intercept.
A data frame containing the population to do the prediction for
A data frame or ffdf object containing the covariates with predefined columns (see below).
Current supported types are "logistic", "poisson", or "survival".
These columns are expected in the outcome object:
rowId |
(integer) | Row ID is used to link multiple covariates (x) to a single outcome (y) |
time |
(real) | For models that use time (e.g. Poisson or Cox regression) this contains time |
| (e.g. number of days) |
These columns are expected in the covariates object:
rowId |
(integer) | Row ID is used to link multiple covariates (x) to a single outcome (y) |
covariateId |
(integer) | A numeric identifier of a covariate |
covariateValue |
(real) | The value of the specified covariate |