Contains functions to help in selecting and exploring features ( or variables ) in binary classification problems.
Provides functions to compute and display information value and weight of evidence (WoE) of the variables , and to convert numeric variables to categorical variables by binning.
Functions are also provided  to determine which levels ( or categories ) of a categorical variable can be collapsed (or combined ) based on their response rates.
The functions provided only work for binary classification problems.

Distribution and Percentile of Sackin, Cophenetic and
Colless-Like Balance Indices of Phylogenetic Trees
Arnau Mir, Francesc Rossello, Lucia Rotger
Computation of Colless-Like, Sackin and cophenetic balance indices of a phylogenetic tree and study of the distribution of these balance indices under the alpha-gamma model. For more details see A. Mir, F. Rossello, L. Rotger (2013) <doi:10.1016/j.mbs.2012.10.005>, M. J. Sackin (1972) <doi:10.1093/sysbio/21.2.225>, D. H. Colless (1982) <doi:10.2307/2413420>.

Computation of Colless-Like, Sackin and cophenetic balance indices of a phylogenetic tree and study of the distribution of these balance indices under the alpha-gamma model. For more details see A. Mir, F. Rossello, L. Rotger (2013) <doi:10.1016/j.mbs.2012.10.005> and (2018) <doi:10.1371/journal.pone.0203401>, M. J. Sackin (1972) <doi:10.1093/sysbio/21.2.225>, D. H. Colless (1982) <doi:10.2307/2413420>.

Giles Hooker <gjh27@cornell.edu> Luo Xiao <lx42@cornell.edu>
R (>= 2.4.0), fda, MASS, odesolve, Matrix, SparseM
These functions implement collocation-inference for
continuous-time and discrete-time stochastic processes. They
provide model-based smoothing, gradient-matching, generalized
profiling and collocation-EM methods.

Collocation Inference for Dynamic Systems
Giles Hooker <gjh27@cornell.edu>, Luo Xiao <lx42@cornell.edu>,
James Ramsay <ramsay@psych.mcgill.ca>
These functions implement collocation-inference for
continuous-time and discrete-time stochastic processes. They
provide model-based smoothing, gradient-matching, generalized
profiling and forwards prediction error methods.