estimate.normal.densities: Estimate normal densities.
In mdelhey/plda: poisson discriminant analysis

Estimate normal densities.

1 2	estimate.normal.densities(X, mu.hat, sigma.hat, type = c("linear", "quadratic"))

`X`	Matrix of predictors.
`type`	Type of discriminant analysis to be performed. Linear assumes that all population class covariances are equal. Quadratic estimates each population class covariance separately. Linear and Quadratic assume predictors are normally distributed (i.e. continous data). Poisson models count data.