Changes in version 1.0.9 New features - Use of roxygen for package documentation Bug fixes - Revision of LogRankTest function to avoid integer overflow issue Changes in version 1.0.8 (2019-05-08) New features - Create an hexagon sticker for the package. Bug fixes - Fix the calculation of intersection hypothesis pvalue when family weights is null for all gatekeeping procedures. - Revise the error fraction function to avoid floating point issue - Fix the images in the Case studies vignette - Revise the specification of serial and parallel parameters in MixtureGatekeepingAdj (matrix instead of list) - Revise the Outcome table generation function used for reporting Changes in version 1.0.7 (2018-07-16) Bug fixes - As the ReporteRs R package is not available on the CRAN anymore, the report generation feature has been revised using the officer and flextable R packages. These packages are now required to use the GenerateReport function. Changes in version 1.0.6 (2018-02-13) New features - Addition of the multinomial distribution (MultinomialDist, see Analysis model). - Addition of the ordinal logistic regression test (OrdinalLogisticRegTest, see Analysis model). - Addition of the Proportion statistic (PropStat, see Analysis model). - Addition of the Fallback procedure (FallbackAdj, see Analysis model). - Addition of a function to get the analysis results generated in the CSE using the AnalysisStack function (see Analysis stack). - Addition of the ExtractAnalysisStack function to extract a specific set of results in an AnalysisStack object (see Analysis stack). - Creation of a vignette to describe the functions implementing the adjusted p-values (AdjustPvalues) and one-sided simultaneous confidence intervals (AdjustCIs). - Minor revisions of the generated report - It is now possible to use an option to specify the desirable direction of the treatment effect in a test, e.g., larger = TRUE means that numerically larger values are expected in the second sample compared to the first sample and larger = FALSE otherwise. This is an optional argument for all two-sample statistical tests to be included in the Test object. By default, if this argument is not specified, it is expected that a numerically larger value is expected in the second sample (i.e., by default larger = TRUE). Bug fixes - Due to difficulties for several users to install the Mediana R package because of java issue, the ReporteRs R package is not required anymore (remove from Imports). However, to be able to generate the report, the user will require to have the ReporteRs R package installed. - Minor revision to the two-sample non-inferiority test for proportions to ensure that the number of successes is not greater than the sample size Changes in version 1.0.5 (2017-05-25) New features - Addition of the AdjustPvalues function which can be used to get adjusted p-values from a Multiple Testing Procedure. This function cannot be used within the CSE framework but it is an add-on function to compute adjusted p-values. - Addition of the AdjustCIs function which can be used to get simultaneous confidence intervals from a Multiple Testing Procedure. This function cannot be used within the CSE framework but it is an add-on function to simultaneous confidence intervals. - Creation of vignettes Bug fixes - Revision of the dropout generation mechanism for time-to-event endpoints. Changes in version 1.0.4 (2017-02-07) New features - Addition of the Fixed-sequence procedure (FixedSeqAdj, see Analysis model). - Addition of the Cox method to calculate the HR, effect size and ratio of effect size for time-to-event endpoint. This can be accomplished by setting the method argument in the parameter list to set-up the calculation based on the Cox method. (par = parameters(method = "Cox"), see Analysis model). - Addition of the package version information in the report. Bug fixes - Revision of one-sided p-value computation for Log-Rank test. - Revision of the call for Statistic in the core function (not visible). - Revision of the function to calculate the Hazard Ratio Statistic (HazardRatioStat method). By default, this calculation is now based on the log-rank statistic ((O2/E2)/(O1/E1) where O and E are Observed and Expected event in sample 2 and sample 1. A parameter can be added using the method argument in the parameter list to set-up the calculation based on the Cox method (par = parameters(method = "Cox"), see Analysis model). - Revision of the function to calculate the effect size for time-to-event endpoint (EffectSizeEventStat method, based on the HazardRatioStat method) - Revision of the functions to calculate the ratio of effect size for continuous (RatioEffectSizeContStat method), binary (RatioEffectSizePropStat method) and event (RatioEffectSizeEventStat method) endpoint. - Revision of the function to generate the Test, Statistic, Design and result tables in the report. Changes in version 1.0.3 (2016-08-25) New features - Addition of the Beta distribution (BetaDist, see Data model). - Addition of the Truncated exponential distribution, which could be used as enrollment distribution (TruncatedExpoDist, see Data model). - Addition of the Non-inferiority test for proportion (PropTestNI, see Analysis model). - Addition of the mixture-based gatekeeping procedure (MixtureGatekeepingAdj see Analysis model). - Addition of a function to get the data generated in the CSE using the DataStack function (see Data stack). - Addition of a function to extract a specific set of data in a DataStack object (see Data stack). - Addition of the "Evaluation Model" section in the generated report describing the criteria and their parameters (see Simulation report). Bug fixes - Revision of the generation of dropout time. - Correction of the NormalParamAdj function. - Correction of the FisherTest function.