tidy.irtree_fit: Tidy an irtree_fit object
In ItemResponseTrees: IR-Tree Modeling in 'mirt', 'Mplus', or 'TAM'

Description Usage Arguments Value See Also Examples

Tidy summarizes information about the parameter estimates of an ItemResponseTrees model.

1 2	## S3 method for class 'irtree_fit' tidy(x = NULL, par_type = NULL, ...)

`x`	object of class `irtree_fit` as returned from `fit()`.
`par_type`	Only used if the fit engine was mirt. Item parameters (or thresholds) can be either of type `easiness` (the mirt default) or `difficulty` (as in Mplus and TAM).
`...`	Not currently used.

A tibble with one row for each model parameter and the following columns:

term: The name of the model parameter.
estimate: The estimated value of the term.
std.error: The standard error of the term.
statistic: The value of the test statistic of the term (Mplus only).
p.value: The p-value associated with the statistic (Mplus only).

generics::tidy()

data("jackson")
df1 <- jackson[1:234, paste0("C", 1:5)]
irtree_create_template(df1)
m1 <- "
IRT:
t BY C1@1, C2@1, C3@1, C4@1, C5@1;
Class:
GRM"
fit1 <- fit(irtree_model(m1), data = df1)

tidy(fit1, par_type = "difficulty")

glance(fit1)

augment(fit1)