README.md

In datacamp/tidymirt: Tidy Representations of Mirt Model Output

tidymirt

This package provides broom methods (currently tidy, and glance) for getting convenient information for mirt models.

Example

Below, we use the first example given in the mirt function, to show off the tidymirt's tidy and glance methods.

library(mirt)
data <- expand.table(LSAT7)

mod1 <- mirt(data, 1, SE = TRUE)

Tidy

library(tidymirt)
tidy(mod1)

> tidy(mod1)
# A tibble: 22 x 6
   item_number item   term  estimate conf.low conf.high
         <int> <chr>  <chr>    <dbl>    <dbl>     <dbl>
 1           1 Item.1 a1       0.988    0.641     1.34 
 2           1 Item.1 d        1.86     1.60      2.11 
 3           1 Item.1 g        0       NA        NA    
 4           1 Item.1 u        1       NA        NA    
 5           2 Item.2 a1       1.08     0.750     1.41 
 6           2 Item.2 d        0.808    0.629     0.987
 7           2 Item.2 g        0       NA        NA    
 8           2 Item.2 u        1       NA        NA    
 9           3 Item.3 a1       1.71     1.08      2.33 
10           3 Item.3 d        1.80     1.40      2.20 
# … with 12 more rows

Glance

library(tidymirt)
glance(mod1)

> glance(mod1)
# A tibble: 1 x 12
  nfact nitems ngroups  nest    df converged   AIC  AICc SABIC    HQ   BIC logLik
  <int>  <int>   <int> <int> <dbl> <lgl>     <dbl> <dbl> <dbl> <dbl> <dbl>  <dbl>
1     1      5       1    10    21 TRUE      5338. 5338. 5355. 5356. 5387. -2659.

datacamp/tidymirt documentation built on June 13, 2022, 10:28 p.m.