logLikelihoodMaxDiff: 'dMaxDiff'
In erikerhardt/flipMaxDiff: MaxDiff Experimental Design and Analysis
Description
The log-likelihood for a MaxDiff experiment.
Usage
1
logLikelihoodMaxDiff(b, X, boost, weights, is.tricked)
Arguments
b
A vector of parameter estimates.
X
The experimental design for a sample (a list)
boost
Boosting constants.
weights
An optional vector of sampling or frequency weights.
is.tricked
Whether to use tricked logit instead of rank-ordered logit with ties.
erikerhardt/flipMaxDiff documentation built on June 21, 2020, 12:54 a.m.
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Description
The log-likelihood for a MaxDiff experiment.
Usage
1 | logLikelihoodMaxDiff(b, X, boost, weights, is.tricked)
|
Arguments
b |
A vector of parameter estimates. |
X |
The experimental design for a sample (a |
boost |
Boosting constants. |
weights |
An optional vector of sampling or frequency weights. |
is.tricked |
Whether to use tricked logit instead of rank-ordered logit with ties. |
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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