Computes a vector of the mean squared error of every item allocated to the specified level node in the CAT decision tree. Every MSE is computed using the ability level density function in the specified node and the ability level estimations given the item responses
create_E_MEPV(bank, dens_vec, nres, prob_array, C)matrix of the item bank. Rows represent items, and columns
represent parameters. If the model is "GRM", the first column
represents the alpha parameters and the next columns represent the
beta parameters. If the model is "NRM", odd columns represent
the alpha parameters and even columns represent beta
parameters
vector of the density function values in the specified node of the evaluated ability levels
vector of number of possible responses for every item
3-D array of probability responses. Dim 1 represent items, dim 2 represent evaluated ability levels and dim 3 represent possible responses
vector of item capacities
A vector of all item MSE for the specified node