From bae864b6868c086199ca288c8fd83aee1342d363 Mon Sep 17 00:00:00 2001 From: John Helveston <john.helveston@gmail.com> Date: Mon, 25 Oct 2021 13:04:34 -0400 Subject: [PATCH] update readme --- README.Rmd | 2 +- README.md | 34 +++++++++++++++++----------------- 2 files changed, 18 insertions(+), 18 deletions(-) diff --git a/README.Rmd b/README.Rmd index f9c57064..d1bae093 100644 --- a/README.Rmd +++ b/README.Rmd @@ -20,7 +20,7 @@ knitr::opts_chunk$set( <!-- badges: start --> [![CRAN status](https://www.r-pkg.org/badges/version/logitr)](https://CRAN.R-project.org/package=logitr) -[![Travis build status](https://travis-ci.com/jhelvy/logitr.svg?branch=master)](https://travis-ci.com/jhelvy/logitr) +[![Travis build status](https://app.travis-ci.com/jhelvy/logitr.svg?branch=master)](https://app.travis-ci.com/github/jhelvy/logitr) [![](http://cranlogs.r-pkg.org/badges/grand-total/logitr?color=blue)](https://cran.r-project.org/package=logitr) <!-- badges: end --> diff --git a/README.md b/README.md index fd3f0ff4..7c6c5ad0 100644 --- a/README.md +++ b/README.md @@ -8,7 +8,7 @@ [![CRAN status](https://www.r-pkg.org/badges/version/logitr)](https://CRAN.R-project.org/package=logitr) [![Travis build -status](https://travis-ci.com/jhelvy/logitr.svg?branch=master)](https://travis-ci.com/jhelvy/logitr) +status](https://app.travis-ci.com/jhelvy/logitr.svg?branch=master)](https://app.travis-ci.com/github/jhelvy/logitr) [![](http://cranlogs.r-pkg.org/badges/grand-total/logitr?color=blue)](https://cran.r-project.org/package=logitr) <!-- badges: end --> @@ -18,17 +18,17 @@ 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 and WTP space utility parameterizations. - - Weighted models to differentially weight individual choice +- Preference space and WTP space utility parameterizations. +- Weighted models to differentially weight individual choice observations. - - Functions for computing WTP from preference space models. - - Functions for predicting expected choices and choice probabilities +- Functions for computing WTP from preference space models. +- Functions for predicting expected choices and choice probabilities for a set (or multiple sets) of alternatives based on an estimated model. - - An option to run a multistart optimization loop that uses different +- 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). @@ -36,8 +36,8 @@ The latest version includes support for: 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 @@ -69,9 +69,9 @@ for details on how to use **logitr** to estimate models. ## Author, Version, and License Information - - Author: *John Paul Helveston* <https://www.jhelvy.com/> - - Date First Written: *Sunday, September 28, 2014* - - License: +- Author: *John Paul Helveston* <https://www.jhelvy.com/> +- Date First Written: *Sunday, September 28, 2014* +- License: [MIT](https://github.com/jhelvy/logitr/blob/master/LICENSE.md) ## Citation Information @@ -82,15 +82,15 @@ it if you cited it - you can get the citation by typing ``` r citation("logitr") -#> +#> #> To cite logitr in publications use: -#> +#> #> John Paul Helveston (2021). logitr: Random utility logit models with #> preference and willingness to pay space parameterizations. R package #> version 0.4.0 -#> +#> #> 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},