xxirt_createParTable {sirt}

Create Item Response Functions and Item Parameter Table

Description

Create item response functions and item parameter table

Usage

xxirt_createDiscItem( name, par, est, P, lower=-Inf, upper=Inf,
     prior=NULL, prior_par1=NULL, prior_par2=NULL)

xxirt_createParTable(dat, itemtype, customItems=NULL)

xxirt_modifyParTable( partable, parname, item=NULL, value=NULL,
     est=NULL, parlabel=NULL, parindex=NULL, lower=NULL,
     upper=NULL, prior=NULL, prior_par1=NULL, prior_par2=NULL )

Arguments

name

Type of item response function

par

Named vector of starting values of item parameters

est

Logical vector indicating which parameters should be estimated

P

Item response function

lower

Lower bounds

upper

Upper bounds

prior

Prior distribution

prior_par1

First parameter prior distribution

prior_par2

Second parameter prior distribution

dat

Data frame with item responses

itemtype

Vector of item types

customItems

List with item objects created by xxirt_createDiscItem

partable

Item parameter table

parname

Parameter name

item

Item

value

Value of item parameter

parindex

Parameter index

parlabel

Item parameter label

See Also

xxirt

See mirt::createItem for similar functionality.

Examples

#############################################################################
## EXAMPLE 1: Definition of item response functions
#############################################################################

data(data.read)
dat <- data.read

#------ Definition of item response functions
#*** IRF 2PL
P_2PL <- function( par, Theta, ncat){
    a <- par[1]
    b <- par[2]
    TP <- nrow(Theta)
    P <- matrix( NA, nrow=TP, ncol=ncat)
    P[,1] <- 1
    for (cc in 2:ncat){
        P[,cc] <- exp( (cc-1) * a * Theta[,1] - b )
    }
    P <- P / rowSums(P)
    return(P)
}

#*** IRF 1PL
P_1PL <- function( par, Theta, ncat){
    b <- par[1]
    TP <- nrow(Theta)
    par0 <- c(1,b)
    P <- P_2PL( par=par0, Theta=Theta, ncat=ncat)
    return(P)
}

#** created item classes of 1PL and 2PL models
par <- c( "a"=1, "b"=0 )
# define some slightly informative prior of 2PL
item_2PL <- sirt::xxirt_createDiscItem( name="2PL", par=par, est=c(TRUE,TRUE),
                P=P_2PL, prior=c( a="dlnorm"), prior_par1=c(a=0),
                prior_par2=c(a=5) )
item_1PL <- sirt::xxirt_createDiscItem( name="1PL", par=par[2], est=c(TRUE),
                P=P_1PL )
# list of item classes in customItems
customItems <- list( item_1PL,  item_2PL )

#-- create parameter table
itemtype <- rep( "1PL", 12 )
partable <- sirt::xxirt_createParTable(dat, itemtype=itemtype, customItems=customItems)
# privide starting values
partable1 <- sirt::xxirt_modifyParTable( partable, parname="b",
                   value=- stats::qlogis( colMeans(dat) ) )
# equality constraint of parameters and definition of lower bounds
partable1 <- sirt::xxirt_modifyParTable( partable1, item=c("A1","A2"),
                parname="b", parindex=110, lower=-1, value=0)
print(partable1)