NEWS | R Documentation |

`logLik`

with`newdata`

argument ignored`parm`

and`weights`

arguments.`estfun`

now also has a`newdata`

argument.Correct axes labelling when plotting quantile functions.

make sure names are correct in

`coef(model, fixed = FALSE)`

.check if any exact or interval-censored response with non-zero weight exists before trying to fit the model.

make checks a little more robust against huge diffs under Windows.

Fix two bugs in computation of log-likelihood for possibly left-truncated responses such as

`Surv(start, time, status)`

.

Add augmented lagrangian minimization (

`auglag()`

from package alabama).Make optimiation procedure more general and adaptive, allow users to change defaults and even add their own optimiser.

fix bug when calling

`survfit`

for computing initial probabilities.add

`bysim`

argument to`simulate`

.make sure

`checkGrad`

is respected by`update`

.`predict`

computes`q`

with`K`

elements if not given (as`plot`

always did).

Make sure

`times`

are ordered before calling`survival::summary.survfit`

.

Introduce

`as.mlt`

generic.Introduce a

`coef`

slot in`ctm`

objects and a corresponding`coef<-`

and`coef`

method for setting and extracting coefficients to and from unfitted conditional transformation models.`predict`

,`simulate`

and`plot`

work on`ctm`

objects (with meaningful coefficients) now.

Some small improvements wrt run time and memory consumption.

Use

`theta = coef(object)`

as default starting parameters in`update()`

.`logLik`

has a new`newdata`

argument.`simulate`

has a new`q`

argument.

The mlt package was first published on CRAN.