YRCSkew {logmult} | R Documentation |
Specify a Skew-Symmetric Association in a gnm Model Formula
Description
A function of class "nonlin"
to specify a Yamaguchi (1990) skew-symmetric association in
the formula argument to gnm
.
Usage
YRCSkew(row, col, rowinf, rowsup, inst = NULL)
Arguments
row |
for each cell in the table, the row category. |
col |
for each cell in the table, the column category. |
rowinf |
must be 1 for cells above the diagonal, 0 for cells below and on the diagonal. |
rowsup |
must be 1 for cells below the diagonal, 0 for cells above and on the diagonal. |
inst |
a positive integer specifying the instance number of the term. |
Details
This function is used by yrcskew
to fit the “row-column-effect skew-symmetric
association (logbilinear) model with full quasi-symmetry (QS+RC_SK)” proposed by Yamaguchi (1990).
It can be used directly to fit custom variants of the model not supported by yrcskew
.
This function combines its arguments in the following way:
YRCSkew(row, col, rowinf, rowsup) = \delta_{rowinf} * \mu_{row} * (\mu_{col} - \mu_{row})
+ \delta_{rowsup} * \nu_{col} * (\nu_{row} - \nu_{col})
When arguments are set according to what is suggested above, and the skew \delta
parameter is
constrained to 1, this amounts to the equation:
YRCSkew_{ij} = \delta_{i<j} \nu_i (\nu_j - \nu_i) - \delta_{i>j} \nu_j (\nu_i - \nu_j)
= (\delta_{i<j} - \delta_{i>j}) \nu_{min(i,j)} (\nu_{max(i,j)} - \nu_{min(i,j)})
where YRCSkew_{ij}
is the skew association for the cell at the intersection of row i and column j of
the table. See reference for mathematical details, and the code of yrcskew
for real-world usage.
Value
A list with the required components of a "nonlin"
function:
predictors |
the expressions passed to |
term |
a function to create a deparsed mathematical expression of the term, given labels for the predictors. |
call |
the call to use as a prefix for parameter labels. |
Author(s)
Milan Bouchet-Valat
References
Yamaguchi, K. (1990). Some Models for the Analysis of Asymmetric Association in Square Contingency Tables with Ordered Categories. Sociol. Methodology 20, 181-212.
See Also
Examples
# See ?yrcskew.