Nothing
tramME::
.VarCorr.tramME
shows the
random effect standard deviations by default. coef.tramME
now has a complete
argument that returns
all coefficients (baseline, fixed, random) of the model as a named vectorparm
argument
of vcov.tramME
.ok_warnings
argument of
optim_control
provides control over what warning messages are reported
during optimization. summary.tramME
doesn't report the number of warnings
during optimization anymore. predict.tramME
and
plot.tramME
.confband.tramME
calculates confidence bands and pointwise
confidence intervals for various scales of the conditional outcome
distribution. reformulas
. TMB
Resp()
function to extend the functionality of Surv
objectstrafo
option for plot.smooth.tramME
to plot monotonic transformations of
the smooth termsvcov
and edf_smooth
calculations.simulate
method (with limited functionality in this version) returned tramME
package vignettemixed-effects-additive-models
.mixed-effects-additive-models
.mgcv
. Currently only s()
smooths are
allowed.Aareg
, lpterms
, simulate
, parboot
, trafo
). These
features may eventually find their way back to the package, probably in a
slightly changed form.duplicate.tramTMB
method to work with TMB 1.8.0.coef
, logLik
) communicate with the TMB model more
smoothlyfixed = c(name = value)
SurvregME
using the parameter fixing optionAaregME
extends the (parametric) Aalen regression model of tram
with
mixed-effects.newdata
argument of logLik
resid
method. When frequently recalculated (e.g. in
boosting), setting resid = TRUE
in model definition increases efficiency.update
methoddo_update = TRUE
). Currently, only possible through directly manipulating
the tmb_obj
of the model. parboot
methodoptim_control()
analytical
in the case of fixed effects only
models) to calculate the Hessian; trying harder to invert the Hessian in
numerically unstable cases. type = "lp"
in predict
tramME
objects:
model.frame
, model.matrix
, fitmod
, duplicate
.what = "joint"
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