R/simulatr.R

utils::globalVariables(c("target", "value", "confint_lower", "confint_upper", 
                         "grid_row_id", "parameter", "method", ".", 
                         "lower_mc_ci", "upper_mc_ci", "run_id", "id", 
                         "null_value", "sd", "grid_id", "ground_truth", "metric", 
                         "se"))

#' simulatr: A package that powers portable and scalable simulation studies
#'
#' Simulation studies play a crucial role in the development and assessment of statistical methods. However, writing portable and scalable simulation code can be challenging. Simulatr decouples the *specification* of a simulation from the *execution* of a simulation, enabling users to develop a simulation study on their laptop and seamlessly run the simulation at-scale on a distributed computing platform. Supported platforms include high-performance computing clusters and cloud computing services (e.g., Microsoft Azure, Amazon Web Services, etc.).
#' @importFrom magrittr %>%
#' @import methods
#' @docType package
#'
#' @name simulatr
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timothy-barry/simulatr documentation built on Sept. 6, 2024, 7:10 p.m.