causalsens: Selection Bias Approach to Sensitivity Analysis for Causal Effects

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The causalsens package provides functions to perform sensitivity analyses and to study how various assumptions about selection bias affects estimates of causal effects.

Author
Matthew Blackwell <mblackwell@gov.harvard.edu.edu>
Date of publication
2015-07-01 06:11:34
Maintainer
Matthew Blackwell <mblackwell@gov.harvard.edu>
License
GPL (>= 2)
Version
0.1.1
URLs

View on CRAN

Man pages

causalsens
Calculate sensitivity of causal estimates to unmeasured...
lalonde.exp
Experimental data from the job training program first studied...
lalonde.psid
Non-experimental data from Lalonde (1986)
one.sided
Confounding functions
plot.causalsens
Plot a causal sensitivity analysis.

Files in this package

causalsens
causalsens/inst
causalsens/inst/doc
causalsens/inst/doc/causalsens.Rnw
causalsens/inst/doc/causalsens.R
causalsens/inst/doc/causalsens.pdf
causalsens/NAMESPACE
causalsens/data
causalsens/data/lalonde.psid.RData
causalsens/data/lalonde.exp.RData
causalsens/R
causalsens/R/causalsens.R
causalsens/vignettes
causalsens/vignettes/causalsens.bib
causalsens/vignettes/causalsens.Rnw
causalsens/README.md
causalsens/MD5
causalsens/build
causalsens/build/vignette.rds
causalsens/DESCRIPTION
causalsens/man
causalsens/man/one.sided.Rd
causalsens/man/causalsens.Rd
causalsens/man/plot.causalsens.Rd
causalsens/man/lalonde.exp.Rd
causalsens/man/lalonde.psid.Rd