sda.ranking
(Package: sda) :
Shrinkage Discriminant Analysis 1: Predictor Ranking
sda.ranking determines a ranking of predictors by computing CAT scores (correlation-adjusted t-scores) between the group centroids and the pooled mean.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: plot.sda.ranking, sda.ranking
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centroids
(Package: sda) :
Group Centroids and (Pooled) Variances
centroids computes group centroids, the pooled mean and pooled variance, and optionally the group specific variances.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: centroids
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catscore
(Package: sda) :
Estimate CAT Scores and t-Scores
catscore computes CAT scores (correlation-adjusted t-scores) between the group centroids and the pooled mean.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: catscore
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sda-internal
(Package: sda) :
Internal sda functions
Internal sda functions.
● Data Source:
CranContrib
● Keywords: internal
● Alias: max.col.value, pvt.groups
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sda
(Package: sda) :
Shrinkage Discriminant Analysis 2: Training Step
sda trains a LDA or DDA classifier using James-Stein-type shrinkage estimation.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: sda
●
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sda-package
(Package: sda) :
The sda Package
This package performs linear discriminant analysis (LDA) and diagonal discriminant analysis (DDA) with variable selection using correlation-adjusted t (CAT) scores.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: sda-package
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predict.sda
(Package: sda) :
Shrinkage Discriminant Analysis 3: Prediction Step
predict.sda performs class prediction.
● Data Source:
CranContrib
● Keywords: multivariate
● Alias: predict.sda
●
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providing 
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