sim_RSC: Simulate item responses from the one-parameter RSC model.
In peterhalpin/cirt: Psychometric models of small group collaborations
Description
Usage
Arguments
Value
Description
Simulate item responses from the one-parameter RSC model.
Usage
1
sim_rsc(u, parms, theta1 = 0, theta2 = 0)
Arguments
u
the logit of the weight parameter of the RSC model.
parms
a data.frame with columns parms$alpha and parms$beta corresponding to the discrimination and difficulty parameters of the 2PL model, respectively.
theta1
the latent trait of member 1.
theta1
the latent trait of member 2.
Value
length(u) by nrow(parms) matrix of binary responses.
peterhalpin/cirt documentation built on May 25, 2019, 1:50 a.m.
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Description Usage Arguments Value
Description
Simulate item responses from the one-parameter RSC model.
Usage
1 | sim_rsc(u, parms, theta1 = 0, theta2 = 0)
|
Arguments
u |
the logit of the weight parameter of the RSC model. |
parms |
a data.frame with columns |
theta1 |
the latent trait of member 1. |
theta1 |
the latent trait of member 2. |
Value
length(u) by nrow(parms) matrix of binary responses.
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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