maxlogLreg().maxlogLreg().plot.HazardShape function,
its responsibility was splitted. Now, this function just plots the
empirical TTT function, and we also created the
legend.HazardShape to customize the legend options.maxlogLreg returns the censorship
matrix. Check the documentation
for further information about the censorship matrix.GA::ga) implemented in
maxlogL.coef method implemented.DEoptim fixed.TTT_hazard_shape was implemented as method for classes
EmpiricalTTT and formula objects.Hazard_Shape function deprecated. We implemented a
‘print’ method for TTT_hazard_shape objects.plot.HazardShape: More flexibility in plot options
enabled.se.fit(predict method) fixed.apply family) in TTT functions.EstimationTools was build in R 4.0.2.
We have implemented non-centrality parameter detection. This
parameter must be named ncp in any custom
distribution.
We have implemented computation and plots of empirical total time on test (TTT).
Standard error computation is now performed inside
maxlogL and maxlogLreg.
Standard errror value is now stored in the list case named ‘fit’.
It can be called typing objectname$fit$StdE, where
‘objectname’ is the object where the model is stored.
The new method (function) bootstrap_maxlogL was
created for standard error computation through bootstrap.
‘summary’ method only reports results. It does not perform any computation, bootstrap through ‘summary’ function has been deprecated.
We have made a careful spelling check in our documentation.