R/data.R

In floatofmath/blindConfidence: Simulation of estimation after blinded interim analysis

#' Simulation results from "Estimation after blinded interim analyses"
#'
#' @template datades
#' 
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $5*10^7$ simulated trials.
#' @name gridsim
NULL

#' Simulation results from "Estimation after blinded interim analyses" 
#'
#' Sample size rules with second stage sample size limited \code{n2max=2*n1}
#' @template datades
#' 
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name restsim
NULL

#' Maximum Bias Simulations "Estimation after blinded interim analyses"
#'
#' @template datades
#'
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^6$ simulated trials.
#' @name maxsim
NULL

#' Simulation results from "Estimation after blinded interim analyses"
#'
#' Maximum absolute variance simulations with delta = 0.
#' 
#' @template datades
#' 
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name maxvariancesim3R
NULL

#' Simulation results from "Estimation after blinded interim analyses"
#'
#' Maximum absolute variance simulations with delta = 0; and for the unadjusted reassessment sigma = 50. 
#'
#' @template datades
#' 
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^8$ simulated trials.
#' @name maxvariancesimRL3
NULL

#' Simulation results from "Estimation after blinded interim analyses"
#' 
#' Maximum absolute variance simulations with delta = 0; sigma = 4. 
#'
#' @template datades
#' 
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^8$ simulated trials.
#' @name maxvariancesimR43
NULL

#' Simulation results from "Estimation after blinded interim analyses"
#'
#' Maximum absolute variance simulations with delta = 0; sigma = 50.
#' 
#' @template datades
#' 
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^8$ simulated trials.
#' @name maxvariancesimR503
NULL

#' Maximum Bias Re-Simulations of mean estimates 
#' "Estimation after blinded interim analyses" 
#'
#' @template datades
#'
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name maxmeansim3
NULL

#' Simulation based maximum of the non-coverage inflation under the null
#' "Estimation after blinded interim analyses" 
#'
#' @template datades
#'
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name nullsim
NULL


#' Maximum Bias Re-Simulations of variance estimates 
#' "Estimation after blinded interim analyses"
#'
#' Maximum absolute variance bias found in a neighbourhood around the optimizing values found in \code{\link{maxsim}}.
#' 
#' @template datades
#'
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name maxvariancesim3
NULL

#' Maximum Bias Re-Simulations of coverage estimates 
#' "Estimation after blinded interim analyses"
#'
#' @template datades
#'
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name maxcoveragesim3
NULL


#' Case study simulations "Estimation after blinded interim analyses"
#'
#' @template datades
#'
#' @format A \code{data.frame}, each line corresponds to the outcome from
#' one simulation run with $10^7$ simulated trials.
#' @name casesim
NULL