Miscellaneous Data Management Tools (sjmisc)
Collection of several utility functions for reading or writing data, recoding and labelling variables and some frequently used statistical tests.
Bootstrap Subsamplings of Sparse Partial Least Squares – Discriminant Analysis for Classification and Signature Identification (bootsPLS)
Bootstrap Subsamplings of sparse Partial Least Squares – Discriminant Analysis (sPLS-DA) for Classification and Signature Identification. The method is applicable to any classification problem with more than 2 classes. It relies on bootstrap subsamplings of sPLS-DA and provides tools to select the most stable variables (defined as the ones consistently selected over the bootstrap subsamplings) and to predict the class of test samples.
Clustering using Mixture Models (MixAll)
Algorithms and methods for estimating parametric mixture models with missing data.