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noncompliance
View on CRAN: Click
here
Download and install noncompliance package within the R console
Install from CRAN:
install.packages("noncompliance")
Install from Github:
library("remotes")
install_github("cran/noncompliance")
Install by package version:
library("remotes")
install_version("noncompliance", "0.2.2")
Attach the package and use:
library("noncompliance")
Maintained by
Wen Wei Loh
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-12
Latest Update: 2016-02-15
Description:
A finite-population significance test of the 'sharp' causal null hypothesis that
treatment exposure X has no effect on final outcome Y, within the principal stratum of Compliers.
A generalized likelihood ratio test statistic is used, and the resulting p-value is exact.
Currently, it is assumed that there are only Compliers and Never Takers in the population.
How to cite:
Wen Wei Loh (2016). noncompliance: Causal Inference in the Presence of Treatment Noncompliance Under the Binary Instrumental Variable Model. R package version 0.2.2, https://cran.r-project.org/web/packages/noncompliance
Previous versions and publish date:
0.1.1 (2016-02-12 07:41)
Other packages that cited noncompliance R package
View noncompliance citation profile
Other R packages that noncompliance depends,
imports, suggests or enhances
Functions, R codes and Examples using
the noncompliance R package
Some associated functions: ACE_bounds . ACE_bounds_posterior . ACE_bounds_triangle.plot . AllColTotalsH0_CONT . AllPossiblyObsH0_CONT . Check_ACDE_bounds . Check_IV_ineqs . FindMLE_CONT_H0_hypergeoR . FindMLE_CONT_H1_hypergeoR . Get_pvalues_CONT . expand.grid.DT .
Some associated R codes: RcppExports.R . finitepop.R . transparent.R . Full noncompliance package functions and examples
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