rpact 4.1.0

New features

• The new function getSimulationCounts() can be used to perform power simulations for clinical trials with negative binomial distributed count data. The function returns the simulated power, stopping probabilities, conditional power, and expected sample size for testing mean rates for negative binomial distributed event numbers in the two treatment groups testing situation.
• The functions getDesignGroupSequential(), getDesignInverseNormal(), and getDesignFisher() now support the argument directionUpper to specify the direction of the alternative for one-sided testing early at the design phase, see enhancement #26
• getSampleSizeCounts() and getPowerCounts() output boundary values also on the treatment effect scale, see enhancement #40
• The fetch() and obtain() functions can be used to extract multiple parameters from an rpact result object and support various output formats

Improvements, issues, and changes

• Usage of pipe-operators improved
• Analysis progress messages are only displayed when R is used interactively
• Manual use of kable() for rpact result objects marked as deprecated, as the formatting and display will be handled automatically by rpact
• The order of all summary entries has been revised and optimized
• Minimum version of suggested package ggplot2 changed from 2.2.0 to 3.2.0
• Issues #41, #44, #46, and #47 fixed
• When analyzing with a two-sided test, an issue with the calculation of the conditional rejection probability was fixed
• Bug is fixed: directionUpper = FALSE has no influence in simulation for testing rates in one-sample situation