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 a 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 June 8, 2025, 12:36 p.m.