HiDimDA - High Dimensional Discriminant Analysis
Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.
Last updated 3 months ago
fortranopenblascpp
1.82 score 33 scripts 313 downloadsMAINT.Data - Model and Analyse Interval Data
Implements methodologies for modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance-covariance matrix that takes into account the intrinsic nature of interval data, and lead to four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood, while Normal parameters may be estimated by maximum likelihood or robust trimmed maximum likelihood methods.
Last updated 2 years ago
openblascpp
1.15 score 14 scripts 505 downloads