sits_lda: Train SITS classifiction models with Linear Discriminant...

In luizassis/sits: Satellite Image Time Series Analysis

Description

This function receives a tibble with a set of attributes X for each observation Y These attributes are usually distance metrics between patterns and observations It performs a linear discriminant analysis (lda) to obtain a predictive model. This function is a front-end to the "lda" method in the "MASS" package. Please refer to the documentation in that package for more details.

Usage

sits_lda(distances.tb = NULL, formula = sits_formula_logref(), ...)

Arguments

distances.tb	a time series with a set of distance measures for each training sample
formula	a symbolic description of the model to be fit. SITS offers a set of such formulas (default: sits_formula_logref)
...	other parameters to be passed to MASS::lda function

Value

result either an model function to be passed in sits_predict or an function prepared that can be called further to compute multinom training model

Author(s)

Alexandre Xavier Ywata de Carvalho, [e-mail]

Rolf Simoes, [e-mail]

Gilberto Camara, [e-mail]

luizassis/sits documentation built on May 30, 2019, 7:15 p.m.