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gfoRmula
View on CRAN: Click
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Download and install gfoRmula package within the R console
Install from CRAN:
install.packages("gfoRmula")
Install from Github:
library("remotes")
install_github("cran/gfoRmula")
Install by package version:
library("remotes")
install_version("gfoRmula", "1.1.1")
Attach the package and use:
library("gfoRmula")
Maintained by
Sean McGrath
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.gfoRmula . https://github.com/CausalInference/gfoRmula/issues . https://github.com/CausalInference/gfoRmula . gfoRmula results . gfoRmula.pdf . Using Custom Outcome Models in gfoRmula . A Simplified Approach for Specifying Interventions in gfoRmula . gfoRmula_1.1.1.tar.gz . gfoRmula_1.1.1.zip . gfoRmula_1.1.1.zip . gfoRmula_1.1.1.zip . gfoRmula_1.1.1.tgz . gfoRmula_1.1.1.tgz . gfoRmula_1.1.1.tgz . gfoRmula_1.1.1.tgz . gfoRmula archive . https://CRAN.R-project.org/package=gfoRmula .
First Published: 2019-08-25
Latest Update: 2023-05-18
Description:
Implements the parametric g-formula algorithm of Robins (1986)
. The g-formula can be used to estimate
the causal effects of hypothetical time-varying treatment interventions on
the mean or risk of an outcome from longitudinal data with time-varying
confounding. This package allows: 1) binary or continuous/multi-level
time-varying treatments; 2) different types of outcomes (survival or
continuous/binary end of follow-up); 3) data with competing events or
truncation by death and loss to follow-up and other types of censoring
events; 4) different options for handling competing events in the case of
survival outcomes; 5) a random measurement/visit process; 6) joint
interventions on multiple treatments; and 7) general incorporation of a
priori knowledge of the data structure.
How to cite:
Sean McGrath (2019). gfoRmula: Parametric G-Formula. R package version 1.1.1, https://cran.r-project.org/web/packages/gfoRmula. Accessed 10 May. 2025.
Previous versions and publish date:
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Other R packages that gfoRmula depends,
imports, suggests or enhances
Complete documentation for gfoRmula
Functions, R codes and Examples using
the gfoRmula R package
Some associated functions: basicdata . basicdata_nocomp . binary_eofdata . bootstrap_helper . carry_forward . censor_data . coef.gformula . continuous_eofdata . continuous_eofdata_pb . error_catch . fit_bounded_continuous . fit_glm . fit_multinomial . fit_trunc_normal . fit_zeroinfl_normal . get_cvgrphs . get_outgrphs . get_plot_info . gformula . gformula_binary_eof . gformula_continuous_eof . gformula_survival . hr_helper . intfunc . lagged . make_histories . natural . obs_calculate . plot.gformula_binary_eof . plot.gformula_continuous_eof . plot.gformula_survival . pred_fun_D . pred_fun_Y . pred_fun_cov . predict_binomial . predict_normal . predict_trunc_normal . print.gformula_survival . rmse_calculate . simple_restriction . simulate . static . threshold . vcov.gformula . visit_sum .
Some associated R codes: bootstrap.R . comparisons.R . data.R . gformula.R . globals.R . helper.R . histories.R . interventions.R . pred.R . restrictions.R . s3methods.R . simulate.R . Full gfoRmula package functions and examples
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