MainRC: Estimation of extended RC models
In extRC: Extended RC Models for Contingency Tables
Description
Usage
Arguments
Value
Author(s)
Description
Internal function that implements the Aitchinson-Silvey algorithm to estimate extended RC models.
Usage
1
Arguments
y
row vectorized vector of frequencies of the contingency table
Model
list of model components
the0
initial vector of canonical parameters (optional)
output
to require full output (optional)
Value
dev
final deviance
df
degrees of freedom
pj
vector of joint probabilities
it
number of iterations
dis
final discrepancy
Author(s)
Francesco Bartolucci, Antonio Forcina
extRC documentation built on Oct. 23, 2020, 7:07 p.m.
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Description Usage Arguments Value Author(s)
Description
Internal function that implements the Aitchinson-Silvey algorithm to estimate extended RC models.
Usage
1 |
Arguments
y |
row vectorized vector of frequencies of the contingency table |
Model |
list of model components |
the0 |
initial vector of canonical parameters (optional) |
output |
to require full output (optional) |
Value
dev |
final deviance |
df |
degrees of freedom |
pj |
vector of joint probabilities |
it |
number of iterations |
dis |
final discrepancy |
Author(s)
Francesco Bartolucci, Antonio Forcina
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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