v1.0.1: add s3 tests; RNGv3.5.0

Author: BarkleyBG

.Rbuildignore

@@ -1,12 +1,13 @@
 ^.*\.Rproj$
 ^\.Rproj\.user$
 ^README\.Rmd$
+^README\.md$
 ^README-.*\.png$
+^README\.html$
 ^CONDUCT\.md$
 ^scratch$
 ^\.travis\.yml$
 ^codecov\.yml$
 ^cran-comments\.md$
 ^_pkgdown\.yml$
 ^docs$
-^README\.html$

DESCRIPTION

@@ -1,8 +1,8 @@
 Package: clusteredinterference
 Type: Package
-Date: 2018-02-12
+Date: 2019-03-16
 Title: Causal Effects from Observational Studies with Clustered Interference
-Version: 1.0.0.9000
+Version: 1.0.1
 Authors@R: c(person("Brian G.", "Barkley", email = "[email protected]",
     role = c("aut", "cre"), comment = c(ORCID = "0000-0003-1787-4735")),
     person("Bradley", "Saul", role = c("ctb")))

R/Estimator.R

@@ -107,7 +107,7 @@
 
 #' @examples
 #' \dontrun{
-#' data("toy_data", "clusteredinterference")
+#' toy_data <- clusteredinterference::toy_data
 #' causal_fx <- policyFX(
 #'   data = toy_data,
 #'   formula = Outcome | Treatment ~ Age + Distance + (1 | Cluster_ID) | Cluster_ID,

README.Rmd

@@ -21,7 +21,7 @@ knitr::opts_chunk$set(
 
 # About the 'clusteredinterference' package
 
-This package implements the estimators proposed in [Barkley et al. (2017), _Causal Inference from Observational Studies with Clustered Interference_](https://arxiv.org/abs/1711.04834) for estimating the causal effects of different treatment policies in the presence of partial or clustered interference. The package is available [on CRAN](https://cran.r-project.org/web/packages/clusteredinterference/index.html) with a [companion website](https://barkleybg.github.io/clusteredinterference/)
+This package implements the estimators proposed in [Barkley et al. (2017), _Causal Inference from Observational Studies with Clustered Interference_](https://arxiv.org/abs/1711.04834) for estimating the causal effects of different treatment policies in the presence of partial or clustered interference. The package is available [on CRAN](https://CRAN.R-project.org/package=clusteredinterference) with a [companion website](https://barkleybg.github.io/clusteredinterference/)
 
 
 ## What is clustered interference?

README.md

@@ -15,7 +15,7 @@ output: github_document
 
 # About the 'clusteredinterference' package
 
-This package implements the estimators proposed in [Barkley et al. (2017), _Causal Inference from Observational Studies with Clustered Interference_](https://arxiv.org/abs/1711.04834) for estimating the causal effects of different treatment policies in the presence of partial or clustered interference. The package is available [on CRAN](https://cran.r-project.org/web/packages/clusteredinterference/index.html) with a [companion website](https://barkleybg.github.io/clusteredinterference/)
+This package implements the estimators proposed in [Barkley et al. (2017), _Causal Inference from Observational Studies with Clustered Interference_](https://arxiv.org/abs/1711.04834) for estimating the causal effects of different treatment policies in the presence of partial or clustered interference. The package is available [on CRAN](https://CRAN.R-project.org/package=clusteredinterference) with a [companion website](https://barkleybg.github.io/clusteredinterference/)
 
 
 ## What is clustered interference?

cran-comments.md

@@ -1,22 +1,20 @@
 ## Resubmission
-This is a resubmission. In this version I have:
-
-* Removed the LICENSE file
-* Changed DESCRIPTION from "License: GPL-3 + file LICENSE" to "License: GPL-3"
+This is a minor update. In this version I have
 
 ## Test environments
-* local Windows 7 install, R 3.3.0
-* ubuntu 12.04 (on travis-ci), R 3.3.0
+* macOS Sierra 10.12.6, R 3.5.1 (local machine)
 * win-builder (devel and release)
 
 
 ## R CMD check results
 
-0 errors | 0 warnings | 1 note
+0 errors | 0 warnings | 0 notes
+
+## Release summary
 
-* This is a new release.
+This is the second CRAN release of clusteredinterference.
 
 ## Reverse dependencies
 
-This is a new release, so there are no reverse dependencies.
+There are no reverse dependencies.