predict.edp_population_model: Predict values from a population model

In edpclient: Empirical Data Platform Client

Description

Predict values for the columns in target for rowids given the other values in that row.

Usage

## S3 method for class 'edp_population_model'
predict(object, ...,
        target = NULL, rowids = NULL,
        infer_present = FALSE, seed = NULL)

Arguments

object	an EDP population model, from popmod(...)
...	ignored, accepted for compatibility with predict
target	a character vector of column names, defaults to names(pm) minus names(where)
rowids	a integer vector of rowids, defaults to all
infer_present	If TRUE, act as though each column in targets is missing across all rows and so infer a value for every row. Otherwise only infer values which were missing in the original data.
seed	if set, an integer to pass to EDP as a random seed for this call

Value

a data frame with the columns specified in target.

Examples

  ## Not run: 
    predict(pm, target = c("INCOME"), rowids = c(3, 7))
  
## End(Not run)

edpclient documentation built on May 2, 2019, 2:01 p.m.