文件列表:

.Rbuildignore (41, 2023-04-27)
DESCRIPTION (937, 2023-04-27)
NAMESPACE (831, 2023-04-27)
R/ (0, 2023-04-27)
R/argParse.R (16572, 2023-04-27)
R/bartc.R (9036, 2023-04-27)
R/bayesOpt.R (9833, 2023-04-27)
R/commonSupport.R (1649, 2023-04-27)
R/generics.R (23961, 2023-04-27)
R/hpdint.R (717, 2023-04-27)
R/multipleAssignment.R (4038, 2023-04-27)
R/plot.R (9900, 2023-04-27)
R/responseFit.R (31153, 2023-04-27)
R/summary.R (17782, 2023-04-27)
R/tmle.R (5394, 2023-04-27)
R/treatmentFit.R (7619, 2023-04-27)
R/utility.R (7961, 2023-04-27)
inst/ (0, 2023-04-27)
inst/CITATION (402, 2023-04-27)
inst/NEWS.Rd (3411, 2023-04-27)
inst/common/ (0, 2023-04-27)
inst/common/binaryData.R (549, 2023-04-27)
inst/common/friedmanData.R (3150, 2023-04-27)
inst/common/groupedData.R (664, 2023-04-27)
inst/common/linearData.R (539, 2023-04-27)
man/ (0, 2023-04-27)
man/bartc.Rd (19280, 2023-04-27)
man/generics.Rd (7696, 2023-04-27)
man/plot.Rd (6712, 2023-04-27)
man/summary.Rd (3948, 2023-04-27)
tests/ (0, 2023-04-27)
tests/testthat.R (166, 2023-04-27)
tests/testthat/ (0, 2023-04-27)
tests/testthat/test-01-callConstructors.R (21135, 2023-04-27)
tests/testthat/test-02-treatmentFit.R (4914, 2023-04-27)
tests/testthat/test-03-responseFit.R (3428, 2023-04-27)
tests/testthat/test-04-bartc.R (11387, 2023-04-27)
tests/testthat/test-05-generics.R (13476, 2023-04-27)
... ...

bartCause ========= Causal Inference using Bayesian Additive Regression Trees An `R` package fitting a collection of treatment and response models using the Bayesian Additive Regresssion Trees (BART) algorithm and producing estimates of treatment effects. The main way to install the package is by using [CRAN](https://cran.r-project.org/package=bartCause)'s distribution. It can be installed from within R using the typical `install.packages()` mechanism. Steps to install from source: 1. Install the `remotes` package from within R: ```R install.packages("remotes") ``` 2. Run: ```R remotes::install_github("vdorie/bartCause") ```

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