merge pr #1033: v0.7.8 release candidate

tidymodels · Jun 24, 2021 · d7f6db9 · d7f6db9
2 parents c366963 + 1b0ea51
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Type: Package
 Package: broom
 Title: Convert Statistical Objects into Tidy Tibbles
-Version: 0.7.7.9000
+Version: 0.7.8
 Authors@R:
     c(person(given = "David",
              family = "Robinson",

diff --git a/NEWS.md b/NEWS.md
@@ -1,6 +1,4 @@
-# broom 0.7.7.9000
-
-To be released as broom 0.7.8.
+# broom 0.7.8
 
 * Fixed bug in `glance.ergm` related to handling of MCMC details.
 * Address breakages in unit tests for {fixest} tidiers.

diff --git a/R/ergm-tidiers.R b/R/ergm-tidiers.R
@@ -19,28 +19,6 @@
 #'   \item{std.error}{The standard error}
 #'   \item{mcmc.error}{The MCMC error}
 #'   \item{p.value}{The two-sided p-value}
-#' @examples
-#'
-#' library(ergm)
-#' # Using the same example as the ergm package
-#' # Load the Florentine marriage network data
-#' data(florentine)
-#'
-#' # Fit a model where the propensity to form ties between
-#' # families depends on the absolute difference in wealth
-#' gest <- ergm(flomarriage ~ edges + absdiff("wealth"))
-#'
-#' # Show terms, coefficient estimates and errors
-#' tidy(gest)
-#'
-#' # Show coefficients as odds ratios with a 99% CI
-#' tidy(gest, exponentiate = TRUE, conf.int = TRUE, conf.level = 0.99)
-#'
-#' # Take a look at likelihood measures and other
-#' # control parameters used during MCMC estimation
-#' glance(gest)
-#' glance(gest, deviance = TRUE)
-#' glance(gest, mcmc = TRUE)
 #' 
 #' @references Hunter DR, Handcock MS, Butts CT, Goodreau SM, Morris M (2008b).
 #'   \pkg{ergm}: A Package to Fit, Simulate and Diagnose Exponential-Family

diff --git a/cran-comments.md b/cran-comments.md
@@ -1,4 +1,4 @@
-# broom 0.7.7
+# broom 0.7.8
 
 ## Test environments
 

diff --git a/man/tidy.ergm.Rd b/man/tidy.ergm.Rd
diff --git a/tests/testthat/test-fixest.R b/tests/testthat/test-fixest.R
@@ -80,6 +80,9 @@ test_that("augment.fixest", {
 })
 
 test_that("all other fixest estimators run", {
+  skip_on_cran()
+  skip_on_ci()
+
   form <- v2 ~ v4 | id
   res_feglm    <- fixest::feglm(form,    data = df, family = 'gaussian')
   res_fenegbin <- fixest::fenegbin(form, data = df)
@@ -130,6 +133,9 @@ test_that("all other fixest estimators run", {
 
 
 test_that("tidiers work with model results or summary of model results", {
+  skip_on_cran()
+  skip_on_ci()
+
   # Default standard errors are clustered by `id`. Test against non-default
   # independent, heteroskedastic ("hetero") standard errors.
   fit2_summ <- summary(fit2, se = "hetero")