Version 0.3.4: NA-handling in augment; rowwise tidying

• The behavior of augment, particularly with regard to missing data and the na.exclude argument, has through the use of the augment_columns function been made consistent across the following models:

  • lm
  • glm
  • nls
  • merMod (lme4)
  • survreg (survival)
  • coxph (survival)

  Unit tests in tests/testthat/test-augment.R were added to ensure consistency across these models.

• tidy, augment and glance methods were added for rowwise_df objects, and are set up to apply across their rows. This allows for simple patterns such as:

  regressions <- mtcars %>% group_by(cyl) %>% do(mod = lm(mpg ~ wt, .))
  regressions %>% tidy(mod)
  regressions %>% augment(mod)
  

  See ?rowwise_df_tidiers for more.

• Added tidy and glance methods for Arima objects, and tidy for pairwise.htest objects.

• Fixes for CRAN: change package description to title case, removed NOTES, mostly by adding globals.R to declare global variables.

• This is the original version published on CRAN.