l_RSC: Log-likelihood of the one-parameter RSC model.
In peterhalpin/BearShare: Psychometric models of small group collaborations
Description
Usage
Arguments
Value
Description
Computes loglikeihood of a response matrix under the one-parameter RSC model.
Usage
1
l_RSC(resp, u, parms, theta1, theta2)
Arguments
resp
a matrix or data.frame containing the (conjunctively-scored, binary) item responses.
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.
theta2
the latent trait of member 2.
Value
length(w)-vector of log-likelihood.
peterhalpin/BearShare documentation built on May 25, 2019, 12:48 a.m.
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Description Usage Arguments Value
Description
Computes loglikeihood of a response matrix under the one-parameter RSC model.
Usage
1 | l_RSC(resp, u, parms, theta1, theta2)
|
Arguments
resp |
a matrix or data.frame containing the (conjunctively-scored, binary) item responses. |
u |
the logit of the weight parameter of the RSC model. |
parms |
a data.frame with columns |
theta1 |
the latent trait of member 1. |
theta2 |
the latent trait of member 2. |
Value
length(w)-vector of log-likelihood.
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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