algo_effectiveness_crm {airt} | R Documentation |
Computes the actual and predicted effectiveness of a given algorithm.
Description
This function computes the actual and predicted effectiveness of a given algorithm for different tolerance values.
Usage
algo_effectiveness_crm(mod, num = 1)
Arguments
mod |
A fitted |
num |
The algorithm number, for which the goodness of the IRT model is computed. |
Value
A list with the following components:
effective |
The |
predictedEff |
The area under the predicted effectiveness curve. |
actualEff |
The area under the actual effectiveness curve. |
Examples
set.seed(1)
x1 <- runif(100)
x2 <- runif(100)
x3 <- runif(100)
X <- cbind.data.frame(x1, x2, x3)
max_item <- rep(1,3)
min_item <- rep(0,3)
mod <- cirtmodel(X, max.item=max_item, min.item=min_item)
out <- algo_effectiveness_crm(mod$model, num=1)
out
[Package airt version 0.2.2 Index]