New perm_test.mmlt.
Update demo reference output.
Update to mlt 1.7-4.
Update reference output.
All references in inst/REFERENCES.bib.
Update Mmlt simulation code.
Update survtram vignette.
Update mtram vignette.
Adapt to mlt 1.7-0 changes.
Avoid tedious data-driven determination of the support of polynomials in
Bernstein form by applying a pre-transformation inspired by
nonparametric estimates of the unconditional response
distribution. Parameters of the transformation polynomial
in Bernstein form are now estimated from input data which
is symmetric on the support defined by the range of the response
observations. This, specifying support, prob, or
log_first in calls to models should be no longer necessary.
The old behaviour is still available.
Improve computations defining the support of polynomials in
Bernstein form (especially for interval-censored data using
the fast Turnbull estimator from package icenReg).
Bring back reference output.
Explain na.action = na.pass behaviour in tram manual page.
summary.tram now works for univariate models.
New survtram vignette.
Ship without reference output allowing a more substantial mlt update soon.
Update to mlt 1.6-6.
New vignette instroducing nonparanormal marginal adjusted
inference (NAMI) as an application of Mmlt.
Update survtram demo.
Avoid partial argument matches.
rep to rep_len.
Make model.matrix more flexible for tram objects.
New doubly robust score test added as robust_score_test.
Add fit argument to Compris.
Fix broken bib file.
Don't refit instable mixed models for toe nail data in vignette.
Adding scores for discrete mtram models.
Update mtram to internal interface changes.
Use mltoptim also in mtram.
Ship proper mtram vignette (so far only the rendered output
was supplied).
Make sure demos are in shape (again).
Gradient check failed on Fedora noLD.
Gradient check failed on MacOS.
mmlt moved to mlt 1.6-0.
New Mmlt allowing arbitrary mixes of continuous
and discrete data, including exact and censored observations
for the same variable; implementing three (potentially) convex
approximations; allowing for non-informative missings encoded as
-Inf, Inf.
Compris now also uses the parametric likelihood for
the competing risk case.
Allow density predictions for all continuous variables (regardless of censoring in training data).
Add example for Compris.
Correct simulate.mmlt.
Change to R\_Calloc and friends.
Allow larger then needed args$w argument in mmlt.
Fix bug in predict.mmlt.
Add sequential fits to mmlt.
Add fixed = TRUE/FALSE argument to coef.mmlt
such that the whole parameter vector can be retrieved.
Handle constraints for fixed parameters in mmlt correctly (as mlt
always did).
tram and Polr allow binary responses (and return
results identical to glm with appropriate family).
New demo("survtram") and demo("hcc").
predict methods for tram and stram
now offer the same type argument as
mlt::predict.ctm offers.
Allow shift-scale transformation models in mmlt.
Add nonparametric log-likelihood to Compris.
Improved, simplified, and generalised implementation of mmlt.
Coxph, Colr, and BoxCox allow unbiased
estimation of time-to-event distributions under dependent
censoring.
All tram models can be equipped with frailty terms.
Fix some minor issues.
Update demo stram.
Add simulate.mmlt.
Survreg didn't work with constraints, reported by Lucas Kook.
mtram didn't deal properly with interval censoring in all cases.
Enable stratification for shift-scale transformation models (still experimental).
Fix S3 argument issues.
Try to detect negative SEs.
Stabilise and generalise mmlt: Alternative link functions,
separate lower triangular matrix storage and computations from
mmlt.
coef(<mmlt>, type = "Sigma") and coef(<mmlt>, type = "Corr")
were incorrect for more than three dimensions.
Improved numerical stability in mtram.
New location-scale functionality, see demo("stram").
New Laplace link function.
New cauchit link function.
Minor bug fixed for shift-scale transformation models (still experimental).
bread.tram added for sandwich to work.
Update mtram vignette; move code to demo.
Add shift-scale transformation models (experimental).
Add methods for probabilistic indices and overlap coefficients + friends.
Export Gradient and Hessian methods.
Simplify score_test and profile: Use fixed
instead of offset.
Models with standardisation now available in mtram for exact
continuous outcomes and link functions other than probit.
Remove arguments ignored by mlt.
Move mtram vignette code to demo as it took too long on Windows for CRAN.
Deal with stratum - covariate interactions, overparameterised coefficients are constraint to zero.
Make sure to use the Schur complement when computing
variances in for linear transformation models in
score_test and perm_test.
Fix LaTeX problems.
Add dofit argument to mmlt.
Robustify vcov for mmlt objects.
Add experimental score_test and perm_test methods
for glm.
Add simulate method.
Enable nonparametric likelihood estimation by Polr.
New argument sparse_nlevels to tram, requesting
a model Matrix for ordered factors with at least
sparse_nlevels levels.
Add experimental score_test and perm_test for
survival::coxph.
Update simulation code.
Robustify computation of score intervals.
Add Spearman correlation to mmlt example.
Lehmann() parameter is now labelled as proportional reverse time hazard ratio.
Add mmlt for multivariate conditional transformation models
(continuous responses only for now).
Reproducibility material for <arxiv:1906.03151> added to package.
Force support to start at time zero and constrain cumulative
hazard to zero for time zero in Aareg.
Add Aareg for Aalen additive hazard models.
score_test generic and method added for computing
score tests and corresponding confidence intervals.
perm_test generic and method added for computing
permutation score tests.
PI converts log-odds ratios to probabilistic indices and
vice versa.
profile method added for computing
profile likelihood confidence intervals.
Allow additional linear inequality constraints for regression coefficients.
Deal with model_only in Survreg, spotted by Balint Tamasi.
Fix problem in C header file.
Fix problems with responses of class R, spotted by Balint Tamasi.
y | s1:s2 ~ x lead to rank-deficit models, the intercept is
now removed.
Not really a bug, but time-consuming examples were removed (or replaced by static output) in package vignettes to make CRAN happy.
as.mlt returned an object of class mlt but not
mlt_fit.
New marginally interpretable models for clustered data
in mtram, see mtram vignette. This is still
experimental and very rough, so please be careful.
Compute vcov.tram via Schur complement when possible.
Add regression test for count data and log_first = TRUE.
tram objects are now in line with multcomp::glht,
allowing post-hoc multiple comparisons.
log_first = TRUE is now accepted by tram and all
model functions calling tram. This is still experimental.
Silence regression tests on Windows.
New extrapolate = TRUE option for all models constraints
the second derivate of the Bernstein transformation function to be
zero at support. This helps to get rid of possible
discontinuous densities at support.
Add Lehmann for fitting shift transformation models those
linear predictor can be interpreted as log-Lehmann-alternative.
Add method = "loglog" to Polr.
New update method.
Use default bounds = c(0, Inf) for Surv objects (for example
in Coxph.
Update to mlt 1.0-2.
Likelihood ratio tests with fixed parameters gave an error.
Remove strata from linear predictor (experimental).
Try to implement a better guess for the add argument
later defining the axes corresponding to the response
in plots.
All models accept add and bounds arguments.
tram first published on CRAN.