R/data.R

In jolars/strong.SLOPE.simulations: Data and Source Code for Simulations for the SLOPE Strong Rule Paper

#' sim_efficiency_gaussian_correlated
#'
#' Simulations on OLS with SLOPE for various strength of correlation.
#'
"sim_efficiency_gaussian_correlated"

#' sim_efficiency_lambda_methods
#'
#' Simulations on efficiency versus various types of penalty sequences
#'
"sim_efficiency_lambda_methods"

#' sim_efficiency_violations_real_data
#'
#' Simulations on efficiency versus various types of penalty sequences
#'
"sim_efficiency_violations_real_data"

#' sim_performance_alg
#'
#' Simulations on performance on simulated data for previous set and
#' strong set algorithms
#'
"sim_performance_alg"

#' sim_performance_np_ratio
#'
#' Simulations on performance of the strong rule versus ratio between
#' number of observations (n) and predictors (p).
#'
"sim_performance_np_ratio"

#' sim_performance_real_data
#'
#' Simulations on performance of four real datasets
#'
"sim_performance_real_data"

#' sim_performance_simulated_data
#'
#' Simulations on performance for simulated data sets using OLS, logistic,
#' Poisson, and multinomial regression models.
#'
"sim_performance_simulated_data"

#' sim_violations_gaussian_correlated
#'
#' Simulations on violations for sorted L1-penalized OLS regression
#'
"sim_violations_gaussian_correlated"