Summary statistics for model of nonprobsvy class.

Usage

# S3 method for class 'nonprobsvy'
summary(object, test = c("t", "z"), correlation = FALSE, cov = NULL, ...)

object: object of nonprobsvy class
test: Type of test for significance of parameters "t" for t-test and "z" for normal approximation of students t distribution, by default "z" is used if there are more than 30 degrees of freedom and "t" is used in other cases.
correlation: correlation Logical value indicating whether correlation matrix should be computed from covariance matrix by default FALSE.
cov: Covariance matrix corresponding to regression parameters
...: Additional optional arguments

An object of summary_nonprobsvy class containing:

call – A call which created object.
pop_total – A list containing information about the estimated population mean, its standard error and confidence interval.
sample_size – The size of the samples used in the model.
population_size – The estimated size of the population from which the non–probability sample was drawn.
test – Type of statistical test performed.
control – A List of control parameters used in fitting the model.
model – A descriptive name of the model used, e.g., "Doubly-Robust", "Inverse probability weighted", or "Mass Imputation".
aic – Akaike's information criterion.
bic – Bayesian (Schwarz's) information criterion.
residuals – Residuals from the model, providing information on the difference between observed and predicted values.
likelihood – Logarithm of likelihood function evaluated at coefficients.
df_residual – Residual degrees of freedom.
weights – Distribution of estimated weights obtained from the model.
coef – Regression coefficients estimated by the model.
std_err – Standard errors of the regression coefficients.
w_val – Wald statistic values for the significance testing of coefficients.
p_values – P-values corresponding to the Wald statistic values, assessing the significance of coefficients.
crr – The correlation matrix of the model coefficients, if requested.
confidence_interval_coef – Confidence intervals for the model coefficients.
names – Names of the fitted models.