Sparse Redundancy Analysis (sRDA)
Sparse redundancy analysis for high dimensional (biomedical) data. Directional multivariate analysis to express the maximum variance in the predicted data set by a linear combination of variables of the predictive data set. Implemented in a partial least squares framework, for more details see Csala et al. (2017) <doi:10.1093/bioinformatics/btx374>.

Helper Functions to Install and Maintain ‘LaTeX’, and Compile ‘LaTeX’ Documents (tinytex)
Helper functions to install and maintain the ‘LaTeX’ distribution named ‘TinyTeX’ (<https://…/> ), a lightweight and portable version of ‘TeX Live’. This package also contains helper functions to compile ‘LaTeX’ documents, and install missing ‘LaTeX’ packages automatically.

Quantile Regression Forests for ‘ranger’ (quantregRanger)
This is the implementation of quantile regression forests for the fast random forest package ‘ranger’.

Pooled Mean Group Estimation of Dynamic Heterogenous Panels (PooledMeanGroup)
Calculates the pooled mean group (PMG) estimator for dynamic panel data models, as described by Pesaran, Shin and Smith (1999) <doi:10.1080/01621459.1999.10474156>.

Active Function Cross-Entropy Clustering (afCEC)
Active function cross-entropy clustering partitions the n-dimensional data into the clusters by finding the parameters of the mixed generalized multivariate normal distribution, that optimally approximates the scattering of the data in the n-dimensional space, whose density function is of the form: p_1*N(mi_1,^sigma_1,sigma_1,f_1)+…+p_k*N(mi_k,^sigma_k,sigma_k,f_k). The above-mentioned generalization is performed by introducing so called ‘f-adapted Gaussian densities’ (i.e. the ordinary Gaussian densities adapted by the ‘active function’). Additionally, the active function cross-entropy clustering performs the automatic reduction of the unnecessary clusters. For more information please refer to P. Spurek, J. Tabor, K.Byrski, ‘Active function Cross-Entropy Clustering’ (2017) <doi:10.1016/j.eswa.2016.12.011>.

Plot Ternary Diagrams (Ternary)
Plots ternary diagrams using the standard graphics functions. An alternative to ‘ggtern’, which uses the ‘ggplot2’ family of plotting functions.

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