summary.lsirm {lsirm12pl}R Documentation

Summary the result of LSIRM model

Description

summary is used to summary the result of LSIRM model.

Usage

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

Arguments

object

object of class lsirm.

...

Additional arguments.

Value

summary.lsirm contains following elements. A print method is available.

call

R call used to fit the model.

coef

Covariate coefficients posterior means.

mcmc.opt

The number of mcmc iteration, burn-in periods, and thinning intervals.

map.inf

value of log maximum a posterior and iteration number which have log maximum a posterior.

BIC

Numeric value with the corresponding BIC.

method

1pl LSIRM or 2pl LSIRM

missing

The assumed missing type. One of NA, "mar" and "mcar". Default uses NA.

dtype

Type of input data(Binary or Continuous).

ss

TRUE if using spike-slab prior

Examples


# generate example item response matrix
data     <- matrix(rbinom(500, size = 1, prob = 0.5),ncol=10,nrow=50)

# 1PL LSIRM object
lsirm_result <- lsirm(data ~ lsirm1pl())
summary(lsirm_result)



[Package lsirm12pl version 1.3.1 Index]