Provide consistent significance controlled variable selection procedure with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, and p-value). The algorithm selects a final model with only significant variables based on a correction choice of False Discovery Rate, Bonferroni, or no correction.
|Author||Jongwook Kim, Adriano Zanin Zambom|
|Maintainer||Jongwook Kim <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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