summary.hIRT: Summarizing Hierarchical Item Response Theory Models

In xiangzhou09/hIRT: Hierarchical Item Response Theory Models

Description

Summarizing the fit of either hltm or hgrm.

Usage

## S3 method for class 'hIRT'
summary(object, by_item = FALSE, digits = 3, ...)

## S3 method for class 'summary_hIRT'
print(x, digits = 3, ...)

Arguments

object	An object of class hIRT.
by_item	Logical. Should item parameters be stored item by item (if TRUE) or put together in a data frame (if FALSE)?
digits	the number of significant digits to use when printing.
...	further arguments passed to print.
x	An object of class hIRT

Value

An object of class summary_hIRT.

call	The matched call.
model	Model fit statistics: Log likelihood, AIC, and BIC.
item_coefs	Item parameter estimates, standard errors, z values, and p values.
mean_coefs	Parameter estimates for the mean equation.
var_coefs	Parameter estimates for the variance equation.

Examples

y <- nes_econ2008[, -(1:3)]
x <- model.matrix( ~ party * educ, nes_econ2008)
z <- model.matrix( ~ party, nes_econ2008)
nes_m1 <- hgrm(y, x, z)
summary(nes_m1, by_item = TRUE)

xiangzhou09/hIRT documentation built on Dec. 25, 2021, 5:27 a.m.