  We give an overview of eight different software packages and functions
available in R for semi- or non-parametric estimation of the hazard rate for
right-censored survival data. Of particular interest is the accuracy of the
estimation of the hazard rate in the presence of covariates, as well as the
user-friendliness of the packages. In addition, we investigate the ability to
incorporate covariates under both the proportional and the non-proportional
hazards assumptions. We contrast the robustness, variability and precision of
the functions through simulations, and then further compare differences between
the functions by analyzing the "cancer" and "TRACE" survival data sets
available in R, including covariates under the proportional and
non-proportional hazards settings.
