Merge pull request #101 from boyuren158/tmp1

Post CRAN Attempt #2
NSAPH-Software · May 4, 2024 · 2857ce6 · 2857ce6
2 parents 0c6cabe + 5d3ba15
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: GPCERF
 Title: Gaussian Processes for Estimating Causal Exposure Response Curves
-Version: 0.2.4
+Version: 0.2.4.9000
 Authors@R: c(
     person("Naeem", "Khoshnevis", email = "nkhoshnevis@g.harvard.edu",
            role=c("aut"), 
@@ -15,7 +15,7 @@ Authors@R: c(
            role=c("aut"),     
            comment = c(ORCID = "0000-0002-5177-8598", AFFILIATION="HSPH")))
 Maintainer: Boyu Ren <bren@mgb.org>
-Description: Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <arXiv:2105.03454>.
+Description: Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. Ren, B., Wu, X., Braun, D., Pillai, N., & Dominici, F.(2021). "Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes." arXiv preprint <doi:10.48550/arXiv.2105.03454>.
 License: GPL (>= 3)
 Language: en-US
 URL: https://github.com/NSAPH-Software/GPCERF

diff --git a/README.md b/README.md
@@ -1,3 +1,8 @@
+---
+output:
+  html_document: default
+  pdf_document: default
+---
 <p align="center">
   <img src="man/figures/png/gpcerf_logo.png" height="100" alt="Cover Image"/>
 </p>
@@ -194,7 +199,7 @@ Please note that the GPCERF project is released with a [Contributor Code of Cond
 
 ## Contributing
 
-Contributions to the package are encouraged. For detailed information on how to contribute, please refer to the [CONTRIBUTING](CONTRIBUTING.md) guidelines.
+Contributions to the package are encouraged. For detailed information on how to contribute, please refer to the CONTRIBUTING guidelines.
 
 
 ## Reporting Issues & Seeking Support
@@ -203,4 +208,4 @@ If you encounter any issues with GPCERF, we kindly ask you to report them on our
 
 ## References
 
-Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint arXiv:2105.03454.
+Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.
diff --git a/cran-comments.md b/cran-comments.md
diff --git a/index.md b/index.md
@@ -22,4 +22,4 @@ Provides a non-parametric Bayesian framework based on Gaussian process priors fo
 
 ## References
 
-Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint arXiv:2105.03454.
+Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.
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Expand Up		@@ -22,4 +22,4 @@ Provides a non-parametric Bayesian framework based on Gaussian process priors fo

		## References

		Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint arXiv:2105.03454.
		Ren, B., Wu, X., Braun, D., Pillai, N. and Dominici, F., 2021. Bayesian modeling for exposure response curve via gaussian processes: Causal effects of exposure to air pollution on health outcomes. arXiv preprint <doi:10.48550/arXiv.2105.03454>.