Description Usage Arguments Value Author(s)
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 The function performs a quadratic discriminant analysis (qda) to obtain a predictive model. This function is a front-end to the "qda" method in the "MASS" package. Please refer to the documentation in that package for more details.
1 | sits_qda(distances.tb = NULL, formula = sits_formula_logref(), ...)
|
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 |
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
Alexandre Xavier Ywata de Carvalho, alexandre.ywata@ipea.gov.br
Rolf Simoes, rolf.simoes@inpe.br
Gilberto Camara, gilberto.camara@inpe.br
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