updates for cran

DESCRIPTION

@@ -16,7 +16,7 @@ Description: Provides functions for fitting and validation of models for subgrou
     This package is intended for use for both randomized controlled trials and
     observational studies and is described in detail in Huling and Yu (2021) 
     <doi:10.18637/jss.v098.i05>.
-URL: https://jaredhuling.github.io/personalized/,
+URL: https://jaredhuling.org/personalized/,
      https://arxiv.org/abs/1809.07905
 BugReports: https://github.com/jaredhuling/personalized/issues
 License: GPL-2

R/fit_subgroup.R

@@ -236,16 +236,15 @@
 #' Journal of Statistical Software 98(5), 1-60. doi:10.18637/jss.v098.i05
 #'
 #' Chen, S., Tian, L., Cai, T. and Yu, M. (2017), A general statistical framework for subgroup identification
-#' and comparative treatment scoring. Biometrics. doi:10.1111/biom.12676 \url{http://onlinelibrary.wiley.com/doi/10.1111/biom.12676/abstract}
+#' and comparative treatment scoring. Biometrics. doi:10.1111/biom.12676 \url{https://onlinelibrary.wiley.com/doi/10.1111/biom.12676/abstract}
 #'
 #' Xu, Y., Yu, M., Zhao, Y. Q., Li, Q., Wang, S., & Shao, J. (2015),
 #'  Regularized outcome weighted subgroup identification for differential treatment effects. Biometrics, 71(3), 645-653.
-#'  doi: 10.1111/biom.12322 \url{http://onlinelibrary.wiley.com/doi/10.1111/biom.12322/full}
+#'  doi: 10.1111/biom.12322 \url{https://onlinelibrary.wiley.com/doi/full/10.1111/biom.12322}
 #'
 #'  Zhao, Y., Zeng, D., Rush, A. J., & Kosorok, M. R. (2012),
 #'   Estimating individualized treatment rules using outcome weighted learning.
 #'   Journal of the American Statistical Association, 107(499), 1106-1118. doi: 10.1080/01621459.2012.695674
-#'   \url{http://dx.doi.org/10.1080/01621459.2012.695674}
 #' @return An object of class \code{"subgroup_fitted"}.
 #' \item{predict}{A function that returns predictions of the covariate-conditional treatment effects }
 #' \item{model}{An object returned by the underlying fitting function used. For example, if the lasso use used to fit

README.Rmd

@@ -37,7 +37,7 @@ sticker(expression({plot.new(); text(0.5, 0.5, "p", font=2, cex = 10, col = scal
 
 The 'personalized' package is designed for the analysis of data where the effect of a treatment or intervention may vary for different patients. It can be used for either data from randomized controlled trials or observational studies and is not limited specifically to the analysis of medical data.
 
-The personalized package provides estimation methods for subgroup identification under the framework of [Chen et al (2017)](http://onlinelibrary.wiley.com/doi/10.1111/biom.12676/abstract). It also provides routines for valid estimation of the subgroup-specific treatment effects.
+The personalized package provides estimation methods for subgroup identification under the framework of [Chen et al (2017)](https://onlinelibrary.wiley.com/doi/abs/10.1111/biom.12676). It also provides routines for valid estimation of the subgroup-specific treatment effects.
 
 
 
@@ -115,11 +115,11 @@ textrect(elpos[6,], lab = "validate.subgroup(model)",
 
 ## Documentation
 
-[Documentation](http://jaredhuling.org/personalized/)
+[Documentation](https://jaredhuling.org/personalized/)
 
-- [Tutorial / Vignette](http://jaredhuling.org/personalized/articles/usage_of_the_personalized_package.html) - tutorial of statistical methodology and usage of the package
+- [Tutorial / Vignette](https://jaredhuling.org/personalized/articles/usage_of_the_personalized_package.html) - tutorial of statistical methodology and usage of the package
 
-- [Function help files](http://jaredhuling.org/personalized/reference/index.html)
+- [Function help files](https://jaredhuling.org/personalized/reference/index.html)
 
 
 # Installing the 'personalized' package

README.md

@@ -19,22 +19,22 @@ analysis of medical data.
 
 The personalized package provides estimation methods for subgroup
 identification under the framework of [Chen et al
-(2017)](http://onlinelibrary.wiley.com/doi/10.1111/biom.12676/abstract).
+(2017)](https://onlinelibrary.wiley.com/doi/abs/10.1111/biom.12676).
 It also provides routines for valid estimation of the subgroup-specific
 treatment effects.
 
 <img src="vignettes/usage_overview-1.png" width="100%" />
 
 ## Documentation
 
-[Documentation](http://jaredhuling.org/personalized/)
+[Documentation](https://jaredhuling.org/personalized/)
 
   - [Tutorial /
-    Vignette](http://jaredhuling.org/personalized/articles/usage_of_the_personalized_package.html)
+    Vignette](https://jaredhuling.org/personalized/articles/usage_of_the_personalized_package.html)
     - tutorial of statistical methodology and usage of the package
 
   - [Function help
-    files](http://jaredhuling.org/personalized/reference/index.html)
+    files](https://jaredhuling.org/personalized/reference/index.html)
 
 # Installing the ‘personalized’ package