Description Usage Arguments Value Author(s) References Examples
grid.update
computes the segment
that is known to contain the adjustment factor corresponding to the MLE
and, using a grid on this segment, finds this adjsutment factor. It is needed only for relational models for probabilities.
1 | grid.update(ModelMx, ObsTbl, tolerance)
|
ModelMx |
an |
ObsTbl |
a vector of observed cell frequencies of length |
tolerance |
tolerance used in stopping criteria. |
gamma.tilde |
the adjustment factor under the precision given by |
model.tilde |
the value returned by |
Anna Klimova, Tamas Rudas
A. Klimova, Coordinate-Free Exponential Families on Contingency Tables. PhD thesis. Advisers: Tamas Rudas and Thomas Richardson.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ### Multiplicative model from Aitchison and Silvey (1960)
A = matrix(c(1, 0, 0, 1, 0, 1, 1,
0, 1, 0, 1, 1, 0, 1,
0, 0, 1, 0, 1, 1, 1), byrow=TRUE, nrow=3) ## the model matrix
y = c(46,24,7,15,3,4,1) ## the observed data
grid.update(A, y, 1e-4)
## The model of independence for a 2 by 2 contingency table
A = matrix(c( 1,1,0,0,
0,0,1,1,
1,0,1,0,
0,1,0,1), byrow=TRUE, nrow=4) ## the model matrix
y = c(1,2,3,4) ## the observed data
grid.update(A, y, 1e-5)
|
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