Function to produce heatmaps from a continuous IRTmodel

This function makes a dataframe from the continuous IRTmodel the autoplot function produces the heatmaps.

heatmaps_crm(model, thetarange = c(-6, 6))

# S3 method for heatmapcrm
autoplot(
  object,
  xlab = "Theta",
  nrow = 2,
  ratio = 1,
  col_scheme = "plasma",
  ...
)

Arguments

model

Output from the function cirtmodel.

thetarange

The range for theta, default from -6 to 6.

object

For autoplot: output of heatmaps_crm function.

xlab

For autoplot: xlabel.

nrow

For autoplot: number of rows of heatmaps to plot.

ratio

For autoplot: ratio for coord_fixed in ggplot.

col_scheme

For autoplot: the color scheme for heatmaps. Default value is plasma.

...

Other arguments currently ignored.

Value

Dataframe with output probabilities from the IRT model for all algorithms, an object of class heatmapcrm.

Examples

data(classification_cts)
model <- cirtmodel(classification_cts)
#> Warning: NaNs produced
obj <- heatmaps_crm(model)
head(obj$df)
#>   theta  z        pdf Algorithm
#> 1  -6.0 -6 0.08811672        NB
#> 2  -5.9 -6 0.07304618        NB
#> 3  -5.8 -6 0.05987444        NB
#> 4  -5.7 -6 0.04852775        NB
#> 5  -5.6 -6 0.03889051        NB
#> 6  -5.5 -6 0.03081782        NB
autoplot(obj)