Description Usage Arguments Value
PEM FOR SHRINKAGE - this is to take a candidate latent attribute set
1 | get_PEM(X, Q, A, lambda, c_ini, g_ini, nu_ini, thres_c, model = "DINA")
|
X |
N by J data matrix |
Q |
J by K structural matrix |
A |
K-column latent attributes; candidates to be selected! |
lambda |
negative penalty parameter |
c_ini |
initial 1-slipping parameters |
g_ini |
initial guessing parameters |
nu_ini |
initial potentials |
thres_c |
threshold for making sure M step does not generate negative probabilities (algorithm 1 of Xu and Gu JMLR 2019) |
model |
"DINA" (default) or "DINO" |
nu vector of potential ("Delta")
c 1-slipping parameter
g guessing parameter
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