get_em_classify: EM algorithm for estimating c, g and mixing parameter pi
In zhenkewu/slamR: Structured Latent Attribute Models in R
Description
Usage
Arguments
Value
Description
EM algorithm for estimating c, g and mixing parameter pi
Usage
1
get_em_classify(X, Q, A_in, err_prob, model = "DINA")
Arguments
X
N by J data matrix
Q
J by K structural matrix
A_in
C by K latent attributes
err_prob
error probabilities 0.2
model
"DINA" (default) or "DINO"
Value
nu
c
g
loglik
Z_shrink
zhenkewu/slamR documentation built on March 8, 2020, 1:31 a.m.
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Description Usage Arguments Value
Description
EM algorithm for estimating c, g and mixing parameter pi
Usage
1 | get_em_classify(X, Q, A_in, err_prob, model = "DINA")
|
Arguments
X |
N by J data matrix |
Q |
J by K structural matrix |
A_in |
C by K latent attributes |
err_prob |
error probabilities 0.2 |
model |
"DINA" (default) or "DINO" |
Value
nu
c
g
loglik
Z_shrink
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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