Description Usage Arguments Value
Poisson discriminant analysis.
1 2 3 |
X |
Matrix of predictors. |
y |
Factor vector of class or group labels. |
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. |
size.factor |
|
prior |
Type of prior probability. "Uniform" assumes that all classes are equally likely. "Proportion" estimates the prior probability of each class from their proportion in the training data. |
List of class "plda" containing the classifier results.
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