generic_model {autoRasch} | R Documentation |
This function computes the parameter estimates of the generic form of the models by using penalized JML estimation. It allows users to adjust the default settings of the estimation.
generic_model(X, init_par = c(), setting = c())
X |
Input dataset as matrix or data frame with ordinal responses (starting from 0); rows represent individuals, column represent items. |
init_par |
Initial values of the estimated parameters. |
setting |
Parameter settings which are listed in |
In the discrimination parameters estimation, instead of estimating the discrimination parameters,
we are estimating the natural logarithm of the parameters to avoid negative values, \alpha = exp(\gamma)
.
X |
The dataset that is used for estimation. |
name |
The name of each items in the dataset. |
mt_vek |
A vector of the highest response category as many as the number of items. |
loglik |
The log likelihood of the estimation. |
objtype |
Type of the model that is used. |
delta |
A vector of the DIF parameters of each items on each groups. |
gamma |
A vector of the natural logarithm of discrimination parameters of each items. |
beta |
A vector of the difficulty parameter of each items' categories (thresholds). |
theta |
A vector of the ability parameters of each individuals. |