fixed readme url

README.Rmd

@@ -51,7 +51,7 @@ View the [basic usage](https://jhelvy.github.io/logitr/articles/basic_usage.html
 
 ## Author, Version, and License Information
 
-- Author: *John Paul Helveston* [www.jhelvy.com](http://www.jhelvy.com/)
+- Author: *John Paul Helveston* https://www.jhelvy.com/
 - Date First Written: *Sunday, September 28, 2014*
 - Most Recent Update: `r format(Sys.Date(), format="%B %d, %Y")`
 - License: [MIT](https://github.com/jhelvy/logitr/blob/master/LICENSE.md)

README.md

@@ -19,28 +19,28 @@ parameterizations](https://jhelvy.github.io/logitr/articles/utility_models.html)
 
 The latest version includes support for:
 
--   Homogeneous multinomial logit (MNL) models
--   Heterogeneous mixed logit (MXL) models (with normal and log-normal
+  - Homogeneous multinomial logit (MNL) models
+  - Heterogeneous mixed logit (MXL) models (with normal and log-normal
     parameter distributions).
--   Preference space utility parameterization.
--   WTP space utility parameterization.
--   An option to run a multistart optimization loop that uses different
+  - Preference space utility parameterization.
+  - WTP space utility parameterization.
+  - An option to run a multistart optimization loop that uses different
     random starting points in each iteration to search for different
     local minima (useful for non-convex problems like MXL models or
     models with WTP space parameterizations).
--   Computing and comparing WTP from both preference space and WTP space
+  - Computing and comparing WTP from both preference space and WTP space
     models.
--   Support for weighted models to differentially weight individual
+  - Support for weighted models to differentially weight individual
     choice observations.
--   Functions for predicting expected choices and choice probabilities
+  - Functions for predicting expected choices and choice probabilities
     for a set (or multiple sets) of alternatives based on an estimated
     model.
 
 Note: MXL models assume uncorrelated heterogeneity covariances and are
 estimated using maximum simulated likelihood based on the algorithms in
 Kenneth Train’s book [*Discrete Choice Methods with Simulation, 2nd
-Edition (New York: Cambridge University Press,
-2009)*](https://eml.berkeley.edu/books/choice2.html).
+Edition (New York: Cambridge University
+Press, 2009)*](https://eml.berkeley.edu/books/choice2.html).
 
 ## Installation
 
@@ -72,11 +72,10 @@ for details on how to use **logitr** to estimate models.
 
 ## Author, Version, and License Information
 
--   Author: *John Paul Helveston*
-    [www.jhelvy.com](http://www.jhelvy.com/)
--   Date First Written: *Sunday, September 28, 2014*
--   Most Recent Update: May 22, 2021
--   License:
+  - Author: *John Paul Helveston* <https://www.jhelvy.com/>
+  - Date First Written: *Sunday, September 28, 2014*
+  - Most Recent Update: June 10, 2021
+  - License:
     [MIT](https://github.com/jhelvy/logitr/blob/master/LICENSE.md)
 
 ## Citation Information
@@ -92,15 +91,15 @@ citation("logitr")
 #> 
 #>   John Paul Helveston and Connor Forsythe (2021). logitr: Random
 #>   utility logit models with preference and willingness to pay space
-#>   parameterizations. R package version 0.1.5.
+#>   parameterizations. R package version 0.2.0.
 #> 
 #> A BibTeX entry for LaTeX users is
 #> 
 #>   @Manual{,
 #>     title = {logitr: Random Utility Logit Models with Preference and Willingness to Pay Space Parameterizations},
 #>     author = {John Paul Helveston},
-#>     year = {2020},
-#>     note = {R package version 0.1.4},
+#>     year = {2021},
+#>     note = {R package version 0.2.0},
 #>     url = {https://jhelvy.github.io/logitr/},
 #>   }
 ```

cran-comments.md

@@ -6,4 +6,6 @@
 ## R CMD check results
 0 errors | 0 warnings | 0 notes
 
-* This is a new release, and the first submission.
+## Notes
+* This is a new release, and the second submission.
+* I fixed a url redirect error in the README.md of the initial submission.