xda.fit: Estimate parameters in discriminant analysis

In AEBilgrau/Bmisc: Biostatistical miscellaneous functions

Description

Functions to estimate the parameters in linear and quadratic discriminant analysis (LDA, QDA, resp.). qda2lda provides coversion from QDA to LDA.

Usage

lda.fit(classes, vars)

qda.fit(classes, vars)

qda2lda(myqda)

Arguments

classes	A factor giving the classes of the rows of var.
vars	A numeric matrix giving the observed quantities. Rows correspond to observations and columns to variables.
myqda	The output of lda.fit.

Value

Returns a list with entries:

counts	The number of observations in each class.
means	The estimated means for each class.
sigmas	The estimated covariance matrix for each class.

Author(s)

Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>

AEBilgrau/Bmisc documentation built on May 5, 2019, 11:28 a.m.