Depends: basefun (>= 1.1-2), variables (>= 1.1-0)

Title: Most Likely Transformations: Documentation and Regression Tests
Description: Additional documentation, a package vignette and
Suggests: variables, basefun, np, eha, truncreg, lattice, MASS,
TH.data, multcomp (>= 1.4-4), knitr, survival, prodlim,
gridExtra, nnet, HSAUR3, sandwich, flexsurv, grid,
latticeExtra, colorspace, mgcv, intcox, coxinterval, ICsurv,
polspline, logspline, bshazard, gss, MIICD, TransModel,
dynsurv, timereg, survivalMPL, gamlss, Matrix, muhaz, ICE,
ordinal, VGAM, AER, coin, gamlss.data, mlbench

latticeExtra, colorspace, mgcv, coxinterval, ICsurv, polspline,
logspline, bshazard, gss, MIICD, TransModel, dynsurv, timereg,
survivalMPL, gamlss, Matrix, muhaz, ICE, ordinal, VGAM, AER,

Imports: numDeriv, stats, eha, multcomp (>= 1.4-4), lattice, survival,
Suggests: variables, basefun, MASS, TH.data, knitr, prodlim, gridExtra,
nnet, HSAUR3, sandwich, grid, latticeExtra, colorspace, mgcv,
coxinterval, ICsurv, polspline, logspline, bshazard, gss,
MIICD, TransModel, dynsurv, timereg, survivalMPL, gamlss,
Matrix, muhaz, ICE, ordinal, VGAM, AER, coin, gamlss.data,

Matrix, muhaz, ordinal, VGAM, AER, coin, gamlss.data, mlbench,

ICsurv, polspline, logspline, bshazard, gss, TransModel,
dynsurv, timereg, survivalMPL, gamlss, Matrix, muhaz, ordinal,
VGAM, AER, coin, gamlss.data, mlbench, tram (>= 0.6-0), rms

Authors@R: person("G.", "Dudnik", email = "gl.dudnik@gmail.com", role = c("aut", "cre", "cph"))
Description: A fast, robust and easy-to-use calculation of multi-class classification evaluation metrics based on confusion matrix.

Description: A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase.
Makes heavy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data()
function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and
empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.
Imports: data.table(>= 1.9.7), Matrix, methods, stats