scores.gpcm.bug: Expected and Conditional Summed Score Distributions
In classify: Classification Accuracy and Consistency under IRT models.
Description
Usage
Arguments
Value
Description
Obtains the predicted number-correct score distribution from the IRT models specified in the bugs files pcm.bug, gpcm.bug, rasch.bug, tpl.bug.
Usage
1
2
3
scores.gpcm.bug(item.scores,sims,
mdl = c("rasch.bug", "pcm.bug", "tpl.bug","gpcm.bug"),
gibbs = c("bugs","jags"))
Arguments
item.scores
Matrix of item scores, one candidate per row.
sims
Winbugs sims matrix
mdl
Bugs file: "rasch.bug", "pcm.bug", "tpl.bug", "gpcm.bug"
gibbs
Gibbs sampler: "bugs" or "jags"
Value
an object of class scores
classify documentation built on May 29, 2017, 7:49 p.m.
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Description Usage Arguments Value
Description
Obtains the predicted number-correct score distribution from the IRT models specified in the bugs files pcm.bug, gpcm.bug, rasch.bug, tpl.bug.
Usage
1 2 3 | scores.gpcm.bug(item.scores,sims,
mdl = c("rasch.bug", "pcm.bug", "tpl.bug","gpcm.bug"),
gibbs = c("bugs","jags"))
|
Arguments
item.scores |
Matrix of item scores, one candidate per row. |
sims |
Winbugs sims matrix |
mdl |
Bugs file: "rasch.bug", "pcm.bug", "tpl.bug", "gpcm.bug" |
gibbs |
Gibbs sampler: "bugs" or "jags" |
Value
an object of class scores
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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