summary.nonprob: Summary statistics for model of the nonprob class.

In nonprobsvy: Inference Based on Non-Probability Samples

Summary statistics for model of the nonprob class.

Description

Summarises the nonprob class object. The summary depends on the type of the estimator (i.e. IPW, MI, DR)

Usage

## S3 method for class 'nonprob'
summary(object, ...)

Arguments

object	object of the nonprob class
...	Additional optional arguments

Value

An object of nonprob_summary class containing:

• call call

• estimator type of estimator

• control list of controls

• ipw_weights estimated IPW weights

• ipw_weights_total estimated IPW total (sum)

• ps_scores_nonprob estimated propensity scores for non-probability sample

• ps_scores_prob estimated propensity scores for probability sample

• case_weights case weights

• output estimated means and standard errors

• SE estimated standard errors of V1 and V2

• confidence_interval confidence intervals

• nonprob_size size of the non-probability sample

• prob_size size of the probability sample

• pop_size population size

• pop_size_fixed whether the population size is treated as fixed

• no_prob whether probability sample was provided

• outcome model details

• selection selection details

• estimator_method estimator method

• selection_formula selection formula

• outcome_formula outcome formula

• vars_selection whether variable selection algorithm was applied

• vars_outcome variables of the outcome models

• ys_rand_pred predicted values for the random sample (if applies)

• ys_nons_pred predicted values for the non-probability sample

• ys_resid residuals for the non-probability sample

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"
)
summary(ipw_est1)

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