Selects among a set of covariates
the best set of npred
predictors for a given response trait resp
based on AIC values.
select_pred(.data, resp, covariates = NULL, npred)
.data | A data frame with the response variable and covariates. |
---|---|
resp | The response variable. |
covariates | The covariates. Defaults to NULL. In this case, all
numeric traits in |
npred | An integer specifying the size of the subset of predictors to be selected |
A list with the following elements:
sel_mod An object of class lm
that is the selected model.
predictors The name of the selected predictors.
AIC The Akaike's Information Criterion for the selected model.
pred_models The Akaike's Information Criterion and the predictors selected in each step.
predicted The predicted values considering the model in
sel_mod
.
Tiago Olivoto tiagoolivoto@gmail.com
#> [1] "EH" "EP" "CDED" "KW" "NR" "CL" "ED" "NKE" "NKR" "EL"mod$AIC#> [1] -628.8605# }