latent_distribution: Latent density function

In IRTest: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution

Latent density function

Description

Density function of the estimated latent distribution with mean and standard deviation equal to 0 and 1, respectively.

Usage

latent_distribution(x, model.fit)

Arguments

x	A numeric vector. Value(s) on the theta scale for evaluating the PDF.
model.fit	An object returned from an estimation function.

Value

The evaluated values of the PDF, a length of which equals to that of x.

Examples

# Data generation and model fitting
data <- DataGeneration(N=1000,
                       nitem_D = 15,
                       latent_dist = "2NM",
                       d = 1.664,
                       sd_ratio = 2,
                       prob = 0.3)$data_D

M1 <- IRTest_Dich(data = data, latent_dist = "KDE")

# Plotting the latent distribution
ggplot2::ggplot()+
  ggplot2::stat_function(fun=latent_distribution, args=list(M1))+
  ggplot2::lims(x=c(-6,6), y=c(0,0.5))

IRTest documentation built on Oct. 4, 2024, 5:11 p.m.