mvnfit | R Documentation |
Fit a multivariate normal model without covariates or covariance restrictions. In addition to the (straightforward) parameter estimates the fitted log-likelihood and corresponding score contributions are computed.
mvnfit( y, x = NULL, start = NULL, weights = NULL, offset = NULL, model = c("correlation", "mean", "variance"), ..., estfun = FALSE, object = FALSE )
y |
A matrix or data.frame where each row corresponds to a k-dim observation. |
x |
Not used yet |
start |
Not used yet |
weights |
Not used yet |
offset |
Not used yet |
model |
Vector of characters. Specifies which estimated parameters are returned. |
... |
Not used yet |
estfun |
Logical. Should the matrix of score contributions (aka estimating functions) be returned? |
object |
Not used yet |
Used internally in when method="mob"
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