Title: Interim Monitoring Using Adaptively Weighted Log-Rank Test in
Description: Provide monitoring boundaries for interim testing using the
adaptively weighted log-rank test developed by
The package use a re-sampling method to obtain stopping boundaries
in sequential designs. The output consists of stopping boundaries at
the interim looks along with nominal p-values defined as the
probability of the test exceeding the specific observed value or
critical value, regardless of the test behavior at other looks.
The asymptotic distribution of the test statistics of the adaptively
weighted log-rank test at the interim looks is examined in

Description: For any spending function specified by the user, this
package provides corresponding boundaries for interim testing using
the adaptively weighted log-rank test developed by Yang and Prentice
The package uses a re-sampling method to obtain stopping boundaries
at the interim looks.The output consists of stopping boundaries
and observed values of the test statistics at the interim looks,
along with nominal p-values defined as the probability of the test
exceeding the specific observed test statistic value or critical
value, regardless of the test behavior at other looks.
The asymptotic validity of the stopping boundaries is established

Packaged: 2019-06-07 14:12:19 UTC; Daewoo Pak

Title: Yang and Prentice Model with Piecewise Exponential Baseline
Authors@R: person(given = "Fabio", family = "Demarqui", email = "fndemarqui@est.ufmg.br", role = c("aut", "cre"))
Description: Semiparametric modeling of lifetime data with crossing survival curves via Yang and Prentice model with piecewise exponential baseline distribution curves. Details about the model can be found in Demarqui and Mayrink (2019) <arXiv:1910.02406>. Model fitting carried out via likelihood-based and Bayesian approaches. The package also provides point and interval estimation for the crossing survival times.
Imports: methods, Formula, Rcpp (>= 0.12.0), rstan (>= 2.18.1),
Packaged: 2019-10-08 12:27:58 UTC; fndemarqui