log_likelihood: observed log-likelihood
In soichiroy/emlogit: Implementing the ECM algorithm for multinomial logit model
Description
Usage
Arguments
Value
Description
observed log-likelihood
Usage
1
log_likelihood(Y, X, B, mu0, Z0)
Arguments
Y
A matrix of multinomial outcomes.
X
A matrix of covariate matrix.
B
A matrix of coefficeints. Cols correspond to choices and rows correspond to variables.
mu0
A vector of prior means.
Z0
A matrix of prior variance covariance matrix.
Value
A double of log-likelihood evaluated at B.
soichiroy/emlogit documentation built on Sept. 24, 2021, 5:22 p.m.
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Description Usage Arguments Value
Description
observed log-likelihood
Usage
1 | log_likelihood(Y, X, B, mu0, Z0)
|
Arguments
Y |
A matrix of multinomial outcomes. |
X |
A matrix of covariate matrix. |
B |
A matrix of coefficeints. Cols correspond to choices and rows correspond to variables. |
mu0 |
A vector of prior means. |
Z0 |
A matrix of prior variance covariance matrix. |
Value
A double of log-likelihood evaluated at B.
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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