Package: bate 0.1.0

bate: Computes Bias-Adjusted Treatment Effect

Compute bounds for the treatment effect after adjusting for the presence of omitted variables in linear econometric models, according to the method of Basu (2022) <arxiv:2203.12431>. You supply the data, identify the outcome and treatment variables and additional regressors. The main functions will compute bounds for the bias-adjusted treatment effect. Many plot functions allow easy visualization of results.

Authors:Deepankar Basu [aut, cre], Evan Wasner [aut]

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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bate/json (API)

# Install 'bate' in R:

install.packages('bate', repos = c('https://dbasu-umass.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dbasu-umass/bate/issues

Datasets:

NLSY_BW - NLSY Birth Weight.
NLSY_IQ - NLSY IQ.

On CRAN:

4.00 score 2 stars 3 scripts 186 downloads 18 exports 44 dependencies

Last updated from:46798901e6. Checks:8 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	151
source / vignettes	OK	247
linux-release-x86_64	OK	135
macos-release-arm64	OK	117
macos-oldrel-arm64	OK	127
windows-devel	OK	92
windows-release	OK	97
windows-oldrel	OK	92
wasm-release	FAIL	1441

Exports:cinhaz collect_par cplotbias delfplot dplotbate expand_border get_border mycubic mydisc osterbds osterdelstar ovbias ovbias_lm ovbias_par partocoef selectroot split_nurr urrplot

Dependencies:class classInt cli concaveman cpp11 curl DBI dplyr e1071 farver generics ggplot2 glue gtable isoband jsonlite KernSmooth labeling latex2exp lifecycle magrittr MASS pillar pkgconfig proxy purrr R6 RColorBrewer Rcpp rlang s2 S7 scales sensemakr sf tibble tidyselect units utf8 V8 vctrs viridisLite withr wk

Bias-Adjusted Treatment Effect

Rendered frombate-vignette.Rmdusingknitr::rmarkdown

Last update: 2023-07-02
Started: 2022-03-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Conduct partial and total R2-based sensitivity analysis	cinhaz
Collect parameters from the short, intermediate and auxiliary regressions	collect_par
Create contour plot of bias	cplotbias
Plot graph of function delta=f(Rmax)	delfplot
Histogram of bias adjusted treatment effect	dplotbate
Extend border of bounded box by +/- e	expand_border
Identify all border points in a region	get_border
Compute roots of the cubic equation	mycubic
Evaluates discriminant of the cubic equation	mydisc
NLSY Birth Weight.	NLSY_BW
NLSY IQ.	NLSY_IQ
Computes identified set according to Oster (2019)	osterbds
Computes delta* according to Oster (2019)	osterdelstar
Compute bias adjusted treatment effect taking parameter vector as input.	ovbias
Compute bias adjusted treatment effect taking three lm objects as input.	ovbias_lm
Compute bias adjusted treatment effect taking data frame as input.	ovbias_par
Returns coefficients of the cubic equation	partocoef
Select root of the cubic based on the root of a nearest point	selectroot
Split a region into two parts	split_nurr
Region plot to demarcate URR and NURR for the bounded box	urrplot