Conducts sensitivity analyses for unmeasured confounding in
random-effects meta-analysis per Mathur & VanderWeele (in preparation).
Given output from a random-effects meta-analysis with a relative risk
outcome, computes point estimates and inference for: (1) the proportion
of studies with true causal effect sizes more extreme than a specified threshold
of scientific significance; and (2) the minimum bias factor and confounding
strength required to reduce to less than a specified threshold the proportion
of studies with true effect sizes of scientifically significant size.
Creates plots and tables for visualizing these metrics across a range of bias values.
Provides tools to easily scrape study-level data from a published forest plot or
summary table to obtain the needed estimates when these are not reported.

c(
person("Gary", "Hutson", , "hutsons-hacks@outlook.com", c("aut", "cre"), comment = c(ORCID="0000-0003-3534-6143"))
)
Takes the outputs of a 'caret' confusion matrix and allows for the quick conversion of these list items to lists.
The intended usage is to allow the tool to work with the outputs of machine learning classification models.
This tool works with classification problems for binary and multi-classification problems and allows for the record level conversion of the confusion matrix outputs.
This is useful, as it allows quick conversion of these objects for storage in database systems and to track ML model performance over time.
Traditionally, this approach has been used for highlighting model representation and feature slippage.
dplyr, tidyr, magrittr, caret, mlbench, lattice, scales,
ggplot2, tibble, e1071, randomForest

dplyr, tidyr, magrittr, caret, mlbench, lattice, scales,
ggplot2, e1071, randomForest, purrr, furrr
'MultiFramer.R' 'SingleFramer.R' 'binaryVisualiseR.R'
'dummycoder.R' 'globals.R'

c(
person("Gary", "Hutson", , "hutsons-hacks@outlook.com",
c("aut", "cre"), comment = c(ORCID="0000-0003-3534-6143"))
)
dplyr, tidyr, magrittr, caret, purrr, furrr
knitr, rmarkdown, e1071, randomForest, scales, mlbench