dens {mclust} | R Documentation |
Computes densities of observations in parameterized MVN mixtures.
dens(modelName, data, logarithm = FALSE, parameters, warn=NULL, ...)
modelName |
A character string indicating the model. The help file for
|
data |
A numeric vector, matrix, or data frame of observations. Categorical variables are not allowed. If a matrix or data frame, rows correspond to observations and columns correspond to variables. |
logarithm |
A logical value indicating whether or not the logarithm of the component densities should be returned. The default is to return the component densities, obtained from the log component densities by exponentiation. |
parameters |
The parameters of the model:
|
warn |
A logical value indicating whether or not a warning should be issued
when computations fail. The default is |
... |
Catches unused arguments in indirect or list calls via |
A numeric vector whose ith component is the density of the
ith observation in data
in the MVN mixture specified
by parameters
.
C. Fraley and A. E. Raftery (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association 97:611-631.
C. Fraley and A. E. Raftery (2006). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.
faithfulBIC <- mclustBIC(faithful) faithfulModel <- mclustModel(faithful, faithfulBIC) ## best parameter estimates names(faithfulModel) Dens <- dens(modelName = faithfulModel$modelName, data = faithful, parameters = faithfulModel$parameters) Dens ## Not run: ## alternative call oddDens <- do.call("dens", c(list(data = faithful), faithfulModel)) ## End(Not run)