Use the MLS Junk Generator Algorithm to Generate a Stream of
Pseudo-Random Numbers
person("Steve", "Myles", email = "steve@mylesandmyles.info", role = c("aut", "cre"))
Generate a stream of pseudo-random numbers generated using the MLS
Junk Generator algorithm. Functions exist to generate single pseudo-random
numbers as well as a vector, data frame, or matrix of pseudo-random numbers.

Likelihood-based estimation of conditional transformation
models via the most likely transformation approach.
BB, stats, quadprog, graphics, methods, grDevices, sandwich,
numDeriv

MASS, nnet, TH.data, survival, multcomp, alabama

Likelihood-based estimation of conditional transformation
models via the most likely transformation approach described in
Hothorn et al. (2016) <arXiv:1508.06749>.

BB, alabama, stats, quadprog, graphics, methods, grDevices,
sandwich, numDeriv, survival

Likelihood-based estimation of conditional transformation
models via the most likely transformation approach described in
Hothorn et al. (2017) <DOI:10.1111/sjos.12291>.

Likelihood-based estimation of conditional transformation
models via the most likely transformation approach described in
Hothorn et al. (2018) <DOI:10.1111/sjos.12291>.
BB, alabama, stats, coneproj, graphics, methods, grDevices,
sandwich, numDeriv, survival

BB, alabama, stats, coneproj, graphics, methods, grDevices,
sandwich, numDeriv, survival, nloptr

Likelihood-based estimation of conditional transformation
models via the most likely transformation approach described in
Hothorn et al. (2018) <DOI:10.1111/sjos.12291> and Hothorn (2020)
<DOI:10.18637/jss.v092.i01>.
BB, alabama, stats, coneproj, graphics, methods, grDevices,
sandwich, numDeriv, survival, nloptr, Matrix

BB, alabama, stats, coneproj, graphics, methods, grDevices,
sandwich, numDeriv, survival, Matrix

Most Likely Transformations: Documentation and Regression Tests
Additional documentation, a package vignette and
regression tests for package mlt.
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