Class "preLoglin"

DESCRIPTION:

Classes of objects that contain information to speed computations in log-linear modeling functions that handle missing data.

GENERATION:

This class of objects is returned from the "preLoglin" function.

METHODS:

The class "preLoglin" has methods: , , , , and .

STRUCTURE:

The class "preLoglin" object consists of a list containing the following values:

VALUE:

x
a sorted matrix containing the factors in the model.
n
the number of rows in matrix x
p
the number of columns in matrix x
d
vector containing the number of levels in each of the columns in matrix x
jmp
vector containing the increment between consecutive cells in the table for each factor in x.
r
matrix containing the missing value indicator for the matrix x. The value 1 indicates a known value, while 0 indicates a missing value.
nmis
number of missing values of each variable in the matrix x.
ro
an integer vector such that x[ro, ] yields the same order of data as was observed in the input data.
mdpgrp
the number of distinct patterns cells within a group with the same missing value pattern.
mdpgst
the number of previous patterns of complete cells prior to this pattern of missing cells.
mobs
index of the first cell in the subtable for a missing group.
mobsst
index of first observation in a unique pattern.
nmobs
number of observation for each unique pattern.
ncells
total number of cells in the table.
ngrp
the total number of patterns in the data.
npatt
the number of groups of missing data.
grouped
T if a frequency variable was input to the constructor. Oterwise, F.
sj
the number of the last missingness patterns for which the jth variable needs to be imputed to complete the monotone pattern.
slevs
a list containing the names associated with each of the levels in each column of x.

SEE ALSO:

, , , , .