update.nonprob: The update method for the nonprob object with changed...

In nonprobsvy: Inference Based on Non-Probability Samples

The update method for the nonprob object with changed arguments or parameters

Description

The update method for the nonprob class object that allows to re-estimate a given model with changed parameters. This is in particular useful if a user would like to change method or estimate standard errors if they were not estimated in the first place.

Usage

## S3 method for class 'nonprob'
update(object, ..., evaluate = TRUE)

Arguments

object	the nonprob class object
...	arguments passed to the nonprob class object
evaluate	If true evaluate the new call else return the call

Value

returns nonprob object

Author(s)

Maciej Beręsewicz

Examples

data(admin)
data(jvs)

jvs_svy <- svydesign(ids = ~ 1,  weights = ~ weight,
strata = ~ size + nace + region, data = jvs)

ipw_est1 <- nonprob(selection = ~ region + private + nace + size,
target = ~ single_shift,
svydesign = jvs_svy,
data = admin, method_selection = "logit", se = FALSE
)

ipw_est1

update(ipw_est1, se = TRUE)

nonprobsvy documentation built on April 3, 2025, 7:08 p.m.