clr: Conditional Likelihood Ratio Test

In hyunsooseol/snowIRT: Item Response Theory for jamovi

Conditional Likelihood Ratio Test

Description

Conditional Likelihood Ratio Test

Usage

clr(
  data,
  vars,
  group,
  model = "RM",
  num = 1,
  ci = 3,
  clr = TRUE,
  resi = FALSE,
  score,
  dif = FALSE,
  plot = FALSE,
  plot1 = FALSE,
  plot2 = FALSE,
  width = 500,
  height = 500,
  width1 = 500,
  height1 = 500,
  width2 = 500,
  height2 = 500
)

Arguments

data	The data as a data frame.
vars	.
group	A string naming the grouping variable from data
model	.
num	.
ci	.
clr	.
resi	.
score	.
dif	.
plot	.
plot1	.
plot2	.
width	.
height	.
width1	.
height1	.
width2	.
height2	.

Value

A results object containing:

results$instructions					a html
results$clr					a table
results$resi					a table
results$dif					a table
results$plot					an image
results$plot1					an image
results$plot2					an image

Tables can be converted to data frames with asDF or as.data.frame. For example:

results$clr$asDF

as.data.frame(results$clr)

hyunsooseol/snowIRT documentation built on March 20, 2024, 8 p.m.