lrstat 0.1.10
- Add drift parameter to the getDesign function to compute power given
the drift parameter.
- Update the repeatedPValue function to respect the range of repeated
p-values and to allow matrix input of raw p-values.
- Remove repeatedPValueFlag from the fseqbon function.
- Remove numSubintervals from the caltime function.
- Update the description of selected functions, parameters, and
output.
lrstat 0.1.9
- Add fwgtmat and fadjpsim to calculate the adjusted p-values for
Simes-based graphical approaches.
- update the print method for design, lrpower, and lrsim.
lrstat 0.1.8
- Add spendingTime to getDesign, lrpower, and lrsamplesize to allow
the error spending time to be different from the information time.
- Rewrite lrsamplesize to simplify and accelerate the computation for
typeOfComputation == “Schoenfeld”.
- Add getBound to obtain the efficacy stopping boundaries for a group
sequential design allowing the error spending time to be different from
the information time.
- Add fadjpbon to obtain the adjusted p-values for graphical
approaches using weighted Bonferroni tests for fixed design.
- Add updateGraph to update the weights and transition matrix after
removing a hypothesis from the set of indices of yet to be rejected null
hypotheses.
- Add repeatedPValue to Obtain the repeated p-values for a group
sequential design based on a given alpha spending function.
- Add fseqbon to obtain the test results for group sequential trials
using graphical approaches based on weighted Bonferroni tests with the
option to provide repeated p-values for each hypothesis over time.
- Add lrsim3a to perform simulation for three-arm group sequential
trials based on weighted log-rank test. The looks are driven by the
total number of events in Arm A and Arm C combined.
- Add lrsim2e to perform simulation for two-endpoint two-arm group
sequential trials based on weighted log-rank test. The first few looks
are driven by the total number of PFS events in two arms combined, and
the subsequent looks are driven by the total number of OS events in two
arms combined.
- Add lrsim2e3a to perform simulation for two-endpoint three-arm group
sequential trials based on weighted log-rank test. The first few looks
are driven by the total number of PFS events in Arm A and Arm C
combined, and the subsequent looks are driven by the total number of OS
events in Arm A and Arm C combined.
lrstat 0.1.7
- Add getDesign for creating a generic group sequential design with
constant treatment effect over time.
lrstat 0.1.6
- Add capability for performing noninferiority tests in lrpower,
lrsamplesize, and lrsim.
- Add capability for simulating analyses based on calendar times in
lrsim.
- Adjust the critical value at the final look if the observed total
number of events is less than the planned total number of events in
lrsim.
- Retain summary statistics for all stages even after crossing the
efficacy and futility boundaries in lrsim.
- Add number of dropouts to lrpower/lrsamplesize and lrsim
output.
- Add Schoenfeld method for proportional hazards and conventional
log-rank test in lrpower and lrsamplesize.
lrstat 0.1.5
- Replace Inf with 6 and -Inf with -6 for test statistic stopping
boundaries to avoid potential memory issue.
lrstat 0.1.4
New features
- Add capability for lrstat to calculate hazard ratios from weighted
Cox regression model.
- Add capability for lrsamplesize to calculate absolute accrual rate
from relative accrual rate given power, accrual duration, and follow-up
duration.
Bug fixes
- Use specified informationRates to calculate Wang-Tsiatis
boundaries.
- Use hazard ratios from weighted Cox regression model to determine
crossing boundaries on the hazard ratio scale for lrpower.
- Replace stratum-specific output with overall results for
lrstat.
- Remove hazard ratio estimate from weighted log-rank test from lrsim
output.
lrstat 0.1.3
- Add more statistics to lrpower output.
lrstat 0.1.2
New features
- Add capability for lrpower and lrsamplesize to use error spending
functions.
- Add more statistics to lrstat, lrpower and lrsim output.
- Allow user to specify numSubintervals to control approximation.
Bug fixes
- Add parameter checking for lrpower, lrsamplesize, and lrsim.
- Add test files.
- Add print_lrpower.R to print lrpower objects.
- Use informationTime instead of informationRates in lrsim to
differentiate information based on weighted log-rank tests score
statistic variance from information based on number of events.
- Rename sumstat to overview in lrsim output.
lrstat 0.1.1
lrstat 0.1.0