NEWS.md

In simMetric: Metrics (with Uncertainty) for Simulation Studies that Evaluate Statistical Methods

simMetric 0.1.1

• avoid unnecessary use of base R pipe (|>) and associated dependency on R>=4.1.0.
• avoid unnecessary dependency on {purrr}.
• add citation for entry on QUT research data finder (https://researchdatafinder.qut.edu.au/display/n43368)

simMetric 0.1.0

First submission to CRAN. simMetric can be used to:

• obtain simulation study evaluation metrics within existing packages for simulation study frameworks (e.g. {simTool})
• obtain many metrics and their uncertainty at once with groupings on one or more selected variables.
• obtain metrics without the provided helper function, allowing users to add metrics within their usual tidy workflow (e.g. within dplyr::summarise())
• studies that compare multiple methods or data generating inputs by using these multiple indexes for grouping and estimating metrics.

Metrics included are taken from a recent, and widely read tutorial on simulation study conduct and reporting.

simMetric documentation built on Nov. 1, 2022, 1:06 a.m.