predictAndromeda: Generated predictions from a regression model
In ted9219/CoDImputationHeart: Cause of death imputation package

Generated predictions from a regression model

predictAndromeda(
  coefficients,
  population,
  covariateData,
  modelType = "logistic"
)

`coefficients`	A names numeric vector where the names are the covariateIds, except for the first value which is expected to be the intercept.
`population`	A data frame containing the population to do the prediction for
`covariateData`	An andromeda object containing the covariateData with predefined columns (see below).
`modelType`	Current supported types are "logistic", "poisson", "cox" 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