Gaussian Processes for Pareto Front Estimation and Optimization (GPareto)
Gaussian process regression models, a.k.a. kriging models, are applied to global multiobjective optimization of black-box functions. Multiobjective Expected Improvement and Stepwise Uncertainty Reduction sequential infill criteria are available. A quantification of uncertainty on Pareto fronts is provided using conditional simulations
Zebra-Striped Tables in LaTeX and HTML Formats (ztable)
Makes zebra-striped tables (tables with alternating row colors) in LaTeX and HTML formats easily from a data.frame, matrix, lm, aov, anova, glm or coxph objects.
Computational Wavelet Analysis (WaveletComp)
Wavelet analysis and reconstruction of time series, cross-wavelets and phase-difference (with filtering options), significance with simulation algorithms.
Sparse Principal Component Analysis (spca)
Computes Least Squares Sparse Principal Components either by a Branch-and-Bound search or with an iterative Backward Elimination algorithm. Sparse solutions can be plotted, printed and compared using the methods included.
Precision-Recall and ROC Curves for Weighted and Unweighted Data (PRROC)
Computes the areas under the precision-recall (PR) and ROC curve for weighted (e.g., soft-labeled) and unweighted data. In contrast to other implementations, the interpolation between points of the PR curve is done by a non-linear piecewise function. In addition to the areas under the curves, the curves themselves can also be computed and plotted by a specific S3-method.