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causaldrf  

Estimating Causal Dose Response Functions
View on CRAN: Click here


Download and install causaldrf package within the R console
Install from CRAN:
install.packages("causaldrf")

Install from Github:
library("remotes")
install_github("cran/causaldrf")

Install by package version:
library("remotes")
install_version("causaldrf", "0.4.2")



Attach the package and use:
library("causaldrf")
Maintained by
Douglas Galagate
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-18
Latest Update: 2022-09-29
Description:
Functions and data to estimate causal dose response functions given continuous, ordinal, or binary treatments. A description of the methods is given in Galagate (2016) .
How to cite:
Douglas Galagate (2015). causaldrf: Estimating Causal Dose Response Functions. R package version 0.4.2, https://cran.r-project.org/web/packages/causaldrf. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:24), 0.2 (2015-10-18 01:10), 0.3 (2015-11-30 17:18)
Other packages that cited causaldrf R package
View causaldrf citation profile
Other R packages that causaldrf depends, imports, suggests or enhances
Complete documentation for causaldrf
Functions, R codes and Examples using the causaldrf R package
Some associated functions: add_spl_est . aipwee_est . bart_est . gam_est . get_ci . hi_est . hi_sim_data . iptw_est . ismw_est . iw_est . nmes_data . nw_est . overlap_fun . prop_spline_est . reg_est . scalar_wts . sim_data . t_mod . wtrg_est . 
Some associated R codes: add_spl_est.R . aipwee_est.R . bart_est.R . gam_est.R . get_ci.R . hi_est.R . hi_sim_data.R . iptw_est.R . ismw_est.R . iw_est.R . nmes_data.R . nw_est.R . overlap_fun.R . prop_spline_est.R . reg_est.R . scalar_wts.R . sim_data.R . t_mod.R . wtrg_est.R .  Full causaldrf package functions and examples
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