mlt: Most Likely Transformations

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

AuthorTorsten Hothorn [aut, cre]
Date of publication2017-03-22 12:37:18
MaintainerTorsten Hothorn <Torsten.Hothorn@R-project.org>
LicenseGPL-2
Version0.1-3

View on R-Forge

Functions

as.mlt Man page
as.mlt.mlt Man page
bounds.mlt Man page
coef<- Man page
coef<-.ctm Man page
coef.ctm Man page
coef<-.mlt Man page
coef.mlt Man page
confband Man page
confband.mlt Man page
ctm Man page
estfun.mlt Man page
Gradient Man page
Gradient.mlt Man page
Hessian Man page
Hessian.mlt Man page
logLik.mlt Man page
mkgrid.mlt Man page
mlt Man page
mltoptim Man page
mlt-package Man page
plot.ctm Man page
plot.mlt Man page
predict.ctm Man page
predict.mlt Man page
R Man page
R.factor Man page
R.integer Man page
R.numeric Man page
R.ordered Man page
R.Surv Man page
simulate.ctm Man page
simulate.mlt Man page
update.mlt_fit Man page
variable.names.ctm Man page
variable.names.mlt Man page
vcov.mlt Man page
weights.mlt Man page

Files

mlt/DESCRIPTION
mlt/NAMESPACE
mlt/R
mlt/R/R.R mlt/R/confband.R mlt/R/ctm.R mlt/R/distr.R mlt/R/dpq_etc.R mlt/R/loglik.R mlt/R/methods.R mlt/R/mlt.R mlt/R/mltoptim.R mlt/R/plot.R mlt/R/predict.R mlt/R/sample.R mlt/R/utils.R
mlt/cleanup
mlt/inst
mlt/inst/NEWS.Rd
mlt/man
mlt/man/R.Rd mlt/man/confband.Rd mlt/man/ctm-methods.Rd mlt/man/ctm.Rd mlt/man/mlt-methods.Rd mlt/man/mlt-package.Rd mlt/man/mlt.Rd mlt/man/mltoptim.Rd mlt/man/predict.Rd
mlt/tests
mlt/tests/2sample.R
mlt/tests/2sample.Rout.save
mlt/tests/Cox-Ex.R
mlt/tests/Cox-Ex.Rout.save
mlt/tests/bugfixes.R
mlt/tests/bugfixes.Rout.save
mlt/tests/dpq-Ex.R
mlt/tests/dpq-Ex.Rout.save
mlt/tests/glm-Ex.R
mlt/tests/glm-Ex.Rout.save
mlt/tests/lm-Ex.R
mlt/tests/lm-Ex.Rout.save
mlt/tests/polr-Ex.R
mlt/tests/polr-Ex.Rout.save
mlt/tests/predict-Ex.R
mlt/tests/predict-Ex.Rout.save
mlt/tests/surv-Ex.R
mlt/tests/surv-Ex.Rout.save

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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