Transfer the maintainer role

DESCRIPTION

@@ -1,21 +1,21 @@
 Package: GPCERF
 Title: Gaussian Processes for Estimating Causal Exposure Response Curves
-Version: 0.2.3
+Version: 0.2.4
 Authors@R: c(
     person("Naeem", "Khoshnevis", email = "nkhoshnevis@g.harvard.edu",
-           role=c("aut","cre"), 
+           role=c("aut"), 
            comment = c(ORCID = "0000-0003-4315-1426", AFFILIATION="HUIT")),
-    person("Boyu", "Ren", email = "bren@partners.org",
-           role= c("aut"),            
+    person("Boyu", "Ren", email = "bren@mgb.org",
+           role= c("aut","cre"),            
            comment = c(ORCID = "0000-0002-5300-1184", AFFILIATION="McLean Hospital")),
     person("Tanujit", "Dey", email = "tdey@bwh.harvard.edu",
            role= c("ctb"),            
            comment = c(ORCID = "0000-0001-5559-211X", AFFILIATION="HMS")),
     person("Danielle","Braun", email = "dbraun@hsph.harvard.edu",
            role=c("aut"),     
            comment = c(ORCID = "0000-0002-5177-8598", AFFILIATION="HSPH")))
-Maintainer: Naeem Khoshnevis <nkhoshnevis@g.harvard.edu>
-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>.
+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 <doi:10.48550/arXiv.2105.03454>.
 License: GPL (>= 3)
 Language: en-US
 URL: https://github.com/NSAPH-Software/GPCERF

NEWS.md

@@ -1,3 +1,9 @@
+# GPCERF 0.2.4 (2024-04-09)
+
+## Changed
+
+- Dr. Boyu Ren is now the package maintainer.
+
 # GPCERF 0.2.3 (2024-03-02)
 
 ## Changed

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>.

cran-comments.md

@@ -1,9 +1,24 @@
-Submission (March 2, 2024):
+Resubmission (April 11, 2024)
 
-We appreciate your efforts in reviewing the GPCERF 0.2.3 package. In this upgrade, we:
+We appreciate your efforts in reviewing the GPCERF 0.2.4 package. In this upgrade, we:
 
-- Modified the method by which the user specifies the covariate columns.
-- Resolved an issue involving data that contains a single covariate.
+- Referred to the arXiv e-print via its DOI directly.
+- Removed the URI to CONTRIBUTING.md in README.md.
+
+Regarding the other two notes:
+
+- Rcpp cannot be removed from LinkingTo as it will cause compilation error.
+
+All tests and checks have passed successfully.
+
+Best regards,
+Boyu Ren
+
+Submission (April 9, 2024):
+
+We appreciate your efforts in reviewing the GPCERF 0.2.4 package. In this upgrade, we:
+
+- Transfer the maintainer role from Dr. Naeem Khoshnevis to Dr. Boyu Ren. 
 
 All tests and checks have passed successfully.
 

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>.