EstimationTools 4.0.0

• We changed the behaviour of 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.
• We fixed some examples in the documentation.

EstimationTools 3.0.0

• From this version, maxlogLreg returns the censorship matrix. Check the documentation for further information about the censorship matrix.
• We have implemented a wrapper of integration routines.

EstimationTools 2.4.0

• New!!! genetic algorithm (GA::ga) implemented in maxlogL.
• Custom optimization interface enabled (tests required).

EstimationTools 2.3.0

• New coef method implemented.
• Link functions updated, precision problems solved.
• Link functions specified in summary (maxlogLreg) and print methods.
• Bug in answer class object in DEoptim fixed.

EstimationTools 2.2.0

• 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.
• Bug in se.fit(predict method) fixed.

EstimationTools 2.1.1

• Default value for data (NULL) in order to handle data inside another function (use with apply family) in TTT functions.
• New data sets and examples for them added. They were also referenced.

EstimationTools 2.1.0

• Function for hazard shape estimation implemented. A plot method was also implemented.

EstimationTools 2.0.2

• Empirical TTT with numerical (grouped) covariate.

EstimationTools 2.0.1

• Bug fixed. Formula handle with survival objects without factor classification in TTTE_Analytic is fixed.

EstimationTools 2.0.0

• 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.

EstimationTools 3.0.0

• EstimationTools was build in R 4.2.1.