simhelpers 0.3.2
- Added a new experimental function
factorial_summary()
for analyzing simulation results following a full factorial experimental
design.
- Added option to specify a unique ID variable for every repetition in
repeat_and_stack() and bundle_sim().
- Refactored
bundle_sim() so that it uses
repeat_and_stack() internally.
- Refined
evaluate_by_row():
- Refactored so that it uses only variables that match argument names
of the function to be evaluated.
- Added an option
nest_results to return a nested column
of results (for more compact storage).
extrapolate_coverage() and
extrapolate_rejection() gain an exclude_above
argument to exclude results based on more than a certain number of
bootstraps from being included in the extrapolation calculations.- Corrected the jackknife Monte Carlo standard error calculation for
RMSE and relative RMSE so that the jackknife replicates are exact.
(Thanks to @felipelfv!)
- Corrected the Monte Carlo standard error calculation for relative
RMSE to allow for negative parameters. (Thanks to @felipelfv!)
simhelpers 0.3.1
- Added support for bias-corrected and bias-corrected-and-accelerated
(BCa) bootstrap confidence intervals.
- Corrected an error in the documentation of
bundle_sim().
simhelpers 0.3.0
- Added functions for calculating bootstrap p-values and confidence
intervals and for estimating rejection rates, coverage rates, and
interval widths by extrapolating across bootstrap subsamples.
- Added
repeat_and_stack() function, which is similar to
the base R replicate() and to the now deprecated
purrr::rerun(), with the option to stack the output into a
single data.frame.
- Added
"stddev" as a performance criterion in
calc_absolute().
- Added
winsorize options in
calc_absolute(), calc_relative(),
calc_relative_var(), and calc_coverage().
simhelpers 0.2.1
- Fixed issues in unit tests on Mac OS, M1Mac, and NoLD.
simhelpers 0.2.0
- Added new, experimental function
bundle_sim() to
compose a set of functions into a simulation driver.
- Added an argument to
evaluate_by_row() to control the
name of the variable where simulation results are stored.
- Revised the
calc_*() functions so that they can take
vectors or variable names from a specified dataset.
calc_rejection() can now compute rejection rates for
multiple alpha levels.- Renamed the
K variable computed in the
calc_*() functions to avoid over-writing variables when
using multiple performance calculations inside of
dplyr::summarize().
- Updated syntax in vignettes and examples to use current tidyverse
conventions.
simhelpers 0.1.2
- Removed import of a defunct function from the furrr package.
simhelpers 0.1.1
- Fixed formula for jacknife MCSE
simhelpers 0.1.0