summary.rasch: Summarizing Rasch Model Fits

In nando11235813/raschreg: Item Response Theory models including explanatory variables of the ability parameter

Description

summary method for class "rasch".

Usage

  ## S3 method for class 'rasch'
summary(object, cov_type = 'hessian', correlation = FALSE,
  signif.stars = getOption("show.signif.stars"), ...)

Arguments

object	A fitted rasch model.
cov_type	A character indicating which covariance matrix estimation is to be used. If 'hessian', the Hessian matrix of log-likelihood is used. if 'opg', the outer product of log-likelihood gradient is used. If 'sandwich', the previous two are used in a Huber type estimator. Default to 'hessian'.
correlation	logical; if TRUE the correlation matrix of the estimated parameters is returned and printed.
signif.stars	logical, if TRUE, 'significance stars' are printed for each coefficient.
...	Additional arguments affecting the summary produced.

Details

Returns information regarding each parameter type in the model and additionally gives 'significance stars' if signif.stars is TRUE. Correlations are printed to two decimal places. To see the actual correlations print summary(object)$correlation directly. Difficulties are compared to 0 and discrimination parameters are compared to 1. Since discrimination parameters are estimated on logarithmic scale, the delta method is used to estimated it's variences.

Value

The function summary.rasch computes and returns a list of summary statistics of the fitted model given in object.

Author(s)

Fernando Massa, [e-mail]

Examples

  n   <- 100
  X   <- sim_rasch(n)
  mod <- rasch(X)
  summary(mod)

nando11235813/raschreg documentation built on Oct. 2, 2021, 3:11 p.m.