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jointVIP
View on CRAN: Click
here
Download and install jointVIP package within the R console
Install from CRAN:
install.packages("jointVIP")
Install from Github:
library("remotes")
install_github("cran/jointVIP")
Install by package version:
library("remotes")
install_version("jointVIP", "0.1.2")
Attach the package and use:
library("jointVIP")
Maintained by
Lauren D. Liao
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-21
Latest Update: 2023-03-08
Description:
In the observational study design stage, matching/weighting methods are
conducted. However, when many background variables are present, the decision as to
which variables to prioritize for matching/weighting is not trivial. Thus, the
joint treatment-outcome variable importance plots are created to guide variable
selection. The joint variable importance plots enhance variable comparisons via
unadjusted bias curves derived under the omitted variable bias framework. The
plots translate variable importance into recommended values for tuning parameters
in existing methods. Post-matching and/or weighting plots can also be used to
visualize and assess the quality of the observational study design. The method
motivation and derivation is presented in "Using Joint Variable Importance Plots
to Prioritize Variables in Assessing the Impact of Glyburide on Adverse Birth
Outcomes" by Liao et al. (2023) . See the package paper by Liao
and Pimentel (2023) for a beginner friendly user introduction.
How to cite:
Lauren D. Liao (2022). jointVIP: Prioritize Variables with Joint Variable Importance Plot in Observational Study Design. R package version 0.1.2, https://cran.r-project.org/web/packages/jointVIP. Accessed 21 Nov. 2024.
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Other R packages that jointVIP depends,
imports, suggests or enhances
Complete documentation for jointVIP
Functions, R codes and Examples using
the jointVIP R package
Some associated functions: add_bias_curves . add_variable_labels . bootstrap.plot . ceiling_dec . check_measures . create_jointVIP . create_post_jointVIP . floor_dec . get_boot_measures . get_measures . get_post_measures . plot.jointVIP . plot.post_jointVIP . print.jointVIP . print.post_jointVIP . summary.jointVIP . summary.post_jointVIP .
Some associated R codes: general.R . measures.R . Full jointVIP package functions and examples
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