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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) <https://drum.lib.umd.edu/handle/1903/18170>.
Version: | 0.4.2 |
Depends: | R (≥ 3.1.2) |
Imports: | mgcv, splines, stats, survey |
Suggests: | BayesTree, dplyr, foreign, Hmisc, knitr, MASS, nnet, reshape2, rmarkdown, sas7bdat, testthat, tidyr |
Published: | 2022-09-29 |
DOI: | 10.32614/CRAN.package.causaldrf |
Author: | Douglas Galagate [cre], Joseph Schafer [aut] |
Maintainer: | Douglas Galagate <galagated at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
In views: | CausalInference |
CRAN checks: | causaldrf results |
Reference manual: | causaldrf.pdf |
Vignettes: |
Using causaldrf |
Package source: | causaldrf_0.4.2.tar.gz |
Windows binaries: | r-devel: causaldrf_0.4.2.zip, r-release: causaldrf_0.4.2.zip, r-oldrel: causaldrf_0.4.2.zip |
macOS binaries: | r-release (arm64): causaldrf_0.4.2.tgz, r-oldrel (arm64): causaldrf_0.4.2.tgz, r-release (x86_64): causaldrf_0.4.2.tgz, r-oldrel (x86_64): causaldrf_0.4.2.tgz |
Old sources: | causaldrf archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.