performance_simulation {mycaas} | R Documentation |
Performance indexes
Description
Simulation producing efficiency and accuracy performance curves and indexes based on simulated assessment of all the states in structure
Usage
performance_simulation(
states,
beta,
eta,
likelihood = NA,
questioning_rule = "half_split",
nrep = 1
)
Arguments
states |
A state-by-problem matrix representing the structure, where an element is one if the item is included in the state, and zero otherwise. |
beta |
Vector of careless error probabilities. |
eta |
Vector of lucky guess error probabilities. |
likelihood |
A vector of the likelihood for each state, if omitted the initial likelihood is assumed equally distributed. |
questioning_rule |
A function which is used a questioning rules for the assessment. the default questioning rule is 'half_split'. |
nrep |
Number of times in which each state is simulated. The default value is one. |
Value
Efficiency and Accuracy curves plots.
Examples
# Consider the knowledge space and the parameters used in Brancaccio,
# de Chiusole, Stefanutti (2023) in Example 1
states<-matrix(c( 0,0,0,0,0,
0,0,0,0,1,
0,0,1,0,1,
0,0,0,1,1,
0,0,1,1,1,
1,0,1,0,1,
0,1,0,1,1,
1,0,1,1,1,
0,1,1,1,1,
1,1,0,1,1,
1,1,1,1,1), byrow=TRUE, ncol=5)
beta <-c(.004,.03,.02,.01,.007)
eta <-c(5e-06, 5e-05, 4e-05,.007,.08)
performance_simulation(states,beta,eta)
[Package mycaas version 0.0.1 Index]