Updated email

DESCRIPTION

@@ -1,11 +1,22 @@
 Package: sps
 Title: Sequential Poisson Sampling
-Version: 0.5.3.9005
+Version: 0.5.3.9006
 Authors@R: c(
-    person("Steve", "Martin", role = c("aut", "cre", "cph"), email = "stevemartin041@gmail.com", comment = c(ORCID = "0000-0003-2544-9480")),
+    person("Steve", "Martin",
+            role = c("aut", "cre", "cph"),
+            email = "marberts@protonmail.com",
+            comment = c(ORCID = "0000-0003-2544-9480")),
     person("Justin", "Francis", role = "ctb")
     )
-Description: Sequential Poisson sampling is a variation of Poisson sampling for drawing probability-proportional-to-size samples with a given number of units, and is commonly used for price-index surveys. This package gives functions to draw stratified sequential Poisson samples according to the method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate appropriate bootstrap replicate weights according to the generalized bootstrap method by Beaumont and Patak (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).
+Description: Sequential Poisson sampling is a variation of Poisson sampling for
+    drawing probability-proportional-to-size samples with a given number of
+    units, and is commonly used for price-index surveys. This package gives
+    functions to draw stratified sequential Poisson samples according to the
+    method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample
+    designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate
+    appropriate bootstrap replicate weights according to the generalized
+    bootstrap method by Beaumont and Patak
+    (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).
 Depends: R (>= 4.0)
 Imports: stats
 Suggests: 

README.Rmd

@@ -19,6 +19,7 @@ knitr::opts_chunk$set(
 [![R-CMD-check](https://github.com/marberts/sps/workflows/R-CMD-check/badge.svg)](https://github.com/marberts/sps/actions)
 [![codecov](https://codecov.io/gh/marberts/sps/branch/master/graph/badge.svg?token=5CPGWUF267)](https://app.codecov.io/gh/marberts/sps)
 [![DOI](https://zenodo.org/badge/326323827.svg)](https://zenodo.org/doi/10.5281/zenodo.10109857)
+[![Mentioned in Awesome Official Statistics ](https://awesome.re/mentioned-badge.svg)](http://www.awesomeofficialstatistics.org)
 
 Sequential Poisson sampling is a variation of Poisson sampling for drawing probability-proportional-to-size samples with a given number of units, and is commonly used for price-index surveys. This package gives functions to draw stratified sequential Poisson samples according to the method by Ohlsson (1998), as well as other order sample designs by Rosén (1997), and generate appropriate bootstrap replicate weights according to the generalized bootstrap method by Beaumont and Patak (2012).
 
@@ -39,7 +40,7 @@ install.packages("sps", repos = c("https://marberts.r-universe.dev", "https://cl
 or directly from GitHub.
 
 ```{r, eval=FALSE}
-pak::pkg_install("marberts/sps")
+pak::pak("marberts/sps")
 ```
 
 ## Usage

README.md

@@ -10,6 +10,8 @@ badge](https://marberts.r-universe.dev/badges/sps)](https://marberts.r-universe.
 [![R-CMD-check](https://github.com/marberts/sps/workflows/R-CMD-check/badge.svg)](https://github.com/marberts/sps/actions)
 [![codecov](https://codecov.io/gh/marberts/sps/branch/master/graph/badge.svg?token=5CPGWUF267)](https://app.codecov.io/gh/marberts/sps)
 [![DOI](https://zenodo.org/badge/326323827.svg)](https://zenodo.org/doi/10.5281/zenodo.10109857)
+[![Mentioned in Awesome Official
+Statistics](https://awesome.re/mentioned-badge.svg)](http://www.awesomeofficialstatistics.org)
 
 Sequential Poisson sampling is a variation of Poisson sampling for
 drawing probability-proportional-to-size samples with a given number of
@@ -36,7 +38,7 @@ install.packages("sps", repos = c("https://marberts.r-universe.dev", "https://cl
 or directly from GitHub.
 
 ``` r
-pak::pkg_install("marberts/sps")
+pak::pak("marberts/sps")
 ```
 
 ## Usage
@@ -54,11 +56,11 @@ revenue <- c(1:10, 100, 150)
 
 # Draw a sample of 6 businesses
 (samp <- sps(revenue, 6))
-#> [1]  1  7  9 10 11 12
+#> [1]  3  7  9 10 11 12
 
 # Design weights and sampling strata are stored with the sample
 weights(samp)
-#> [1] 13.750000  1.964286  1.527778  1.375000  1.000000  1.000000
+#> [1] 4.583333 1.964286 1.527778 1.375000 1.000000 1.000000
 levels(samp)
 #> [1] "TS" "TS" "TS" "TS" "TA" "TA"
 ```
@@ -91,13 +93,13 @@ replicate weights with the `sps_repweights()` function.
 
 ``` r
 sps_repweights(weights(samp), 5, tau = 2)
-#>          [,1]   [,2]  [,3]     [,4]      [,5]
-#> [1,] 2.250000 2.2500 1.500 2.750000 3.5000000
-#> [2,] 0.875000 1.8125 0.875 1.812500 2.7500000
-#> [3,] 2.333333 1.5000 2.000 1.166667 0.6666667
-#> [4,] 1.000000 1.0000 1.000 1.000000 1.0000000
-#> [5,] 1.000000 1.0000 1.000 1.000000 1.0000000
-#> [6,] 1.000000 1.0000 1.000 1.000000 1.0000000
+#>        [,1]     [,2]     [,3]   [,4]     [,5]
+#> [1,] 2.7500 1.500000 4.750000 2.2500 2.250000
+#> [2,] 1.8125 2.750000 1.812500 2.3125 0.875000
+#> [3,] 2.0000 1.166667 2.333333 2.0000 1.166667
+#> [4,] 1.0000 1.000000 1.000000 1.0000 1.000000
+#> [5,] 1.0000 1.000000 1.000000 1.0000 1.000000
+#> [6,] 1.0000 1.000000 1.000000 1.0000 1.000000
 #> attr(,"tau")
 #> [1] 2
 ```

inst/CITATION

@@ -3,7 +3,7 @@ bibentry(
   title    = "{sps}: Sequential Poisson Sampling",
   author   = person("Steve", "Martin", role = c("aut", "cre", "cph"),
                     comment = c(ORCID = "0000-0003-2544-9480")),
-  year     = "2023",
+  year     = "2024",
   doi      = "10.5281/zenodo.10109857",
   url      = "https://cran.r-project.org/package=sps",
   note     = sprintf("R package version %s", meta$Version)