update website; DESCRIPTION; .travis.yml

leeper · Mar 18, 2018 · 3fd60ed24b01cc11d7f8e7661a98bf75fc004275 · 3fd60ed
1 parent 2db4276
commit 3fd60ed24b01cc11d7f8e7661a98bf75fc004275
diff --git a/.travis.yml b/.travis.yml
@@ -8,6 +8,7 @@ r_packages:
 - rmarkdown
 - testthat
 - covr
+- betareg
 - ggplot2
 - gapminder
 - nnet

diff --git a/DESCRIPTION b/DESCRIPTION
@@ -34,6 +34,7 @@ Suggests:
     stargazer,
     testthat
 Enhances:
+    betareg,
     ordinal,
     survey
 ByteCompile: true

diff --git a/README.md b/README.md
@@ -187,7 +187,7 @@ summary(marg3 <- margins(mod3))
 plot(marg3)
 ```
 
-![](https://i.imgur.com/vuLstli.png)
+![](https://i.imgur.com/02wuoN9.png)
 
 In addition to the estimation procedures and `plot()` generic, **margins** offers several plotting methods for model objects. First, there is a new generic `cplot()` that displays predictions or marginal effects (from an "lm" or "glm" model) of a variable conditional across values of third variable (or itself). For example, here is a graph of predicted probabilities from a logit model:
 
@@ -196,23 +196,23 @@ mod4 <- glm(am ~ wt*drat, data = mtcars, family = binomial)
 cplot(mod4, x = "wt", se.type = "shade")
 ```
 
-![](https://i.imgur.com/vJeopxu.png)
+![](https://i.imgur.com/u0gET87.png)
 
 And fitted values with a factor independent variable:
 
 ``` r
 cplot(lm(Sepal.Length ~ Species, data = iris))
 ```
 
-![](https://i.imgur.com/8aWB52b.png)
+![](https://i.imgur.com/4d8Synz.png)
 
 and a graph of the effect of `drat` across levels of `wt`:
 
 ``` r
 cplot(mod4, x = "wt", dx = "drat", what = "effect", se.type = "shade")
 ```
 
-![](https://i.imgur.com/n7FYknc.png)
+![](https://i.imgur.com/gtONOMY.png)
 
 `cplot()` also returns a data frame of values, so that it can be used just for calculating quantities of interest before plotting them with another graphics package, such as **ggplot2**:
 
@@ -240,31 +240,31 @@ ggplot(dat, aes(x = xvals)) +
   theme_bw()
 ```
 
-![](https://i.imgur.com/kKsBcN3.png)
+![](https://i.imgur.com/PSBRwdi.png)
 
 Second, the package implements methods for "lm" and "glm" class objects for the `persp()` generic plotting function. This enables three-dimensional representations of predicted outcomes:
 
 ``` r
 persp(mod1, xvar = "cyl", yvar = "hp")
 ```
 
-![](https://i.imgur.com/FLLGQbp.png)
+![](https://i.imgur.com/egJ491k.png)
 
 and marginal effects:
 
 ``` r
 persp(mod1, xvar = "cyl", yvar = "hp", what = "effect", nx = 10)
 ```
 
-![](https://i.imgur.com/YpakIN9.png)
+![](https://i.imgur.com/BY9lBal.png)
 
 And if three-dimensional plots aren't your thing, there are also analogous methods for the `image()` generic, to produce heatmap-style representations:
 
 ``` r
 image(mod1, xvar = "cyl", yvar = "hp", main = "Predicted Fuel Efficiency,\nby Cylinders and Horsepower")
 ```
 
-![](https://i.imgur.com/b6cGSvK.png)
+![](https://i.imgur.com/R2EIu7S.png)
 
 The numerous package vignettes and help files contain extensive documentation and examples of all package functionality.
 
@@ -278,16 +278,16 @@ microbenchmark(marginal_effects(mod1))
 ```
 
     ## Unit: milliseconds
-    ##                    expr      min      lq     mean   median       uq      max neval
-    ##  marginal_effects(mod1) 3.378211 3.46583 3.776552 3.566754 3.856033 6.456878   100
+    ##                    expr      min       lq     mean   median       uq      max neval
+    ##  marginal_effects(mod1) 3.391895 3.516197 3.989595 3.821821 4.294132 6.779228   100
 
 ``` r
 microbenchmark(margins(mod1))
 ```
 
     ## Unit: milliseconds
-    ##           expr      min       lq     mean   median       uq      max neval
-    ##  margins(mod1) 24.20816 24.64626 27.91184 25.27861 27.77188 161.7352   100
+    ##           expr      min       lq    mean   median       uq      max neval
+    ##  margins(mod1) 24.45411 25.36547 31.3643 26.24414 29.35435 161.8154   100
 
 The most computationally expensive part of `margins()` is variance estimation. If you don't need variances, use `marginal_effects()` directly or specify `margins(..., vce = "none")`.
 

diff --git a/README_files/figure-markdown_github/cplot1-1.png b/README_files/figure-markdown_github/cplot1-1.png
diff --git a/README_files/figure-markdown_github/cplot3-1.png b/README_files/figure-markdown_github/cplot3-1.png
diff --git a/docs/LICENSE.html b/docs/LICENSE.html
diff --git a/docs/articles/Introduction.html b/docs/articles/Introduction.html
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diff --git a/docs/articles/Stata.html b/docs/articles/Stata.html
diff --git a/docs/articles/index.html b/docs/articles/index.html
diff --git a/docs/authors.html b/docs/authors.html
diff --git a/docs/index.html b/docs/index.html
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