Merge pull request #427 from tidymodels/pkgdown-refresh

Refresh pkgdown

Author: juliasilge

.gitignore

@@ -8,3 +8,4 @@ tests/testthat/logs/
 derby.log
 logs/*
 revdep/*
+docs*

R/augment.R

@@ -11,6 +11,7 @@
 #' @param x A `model_fit` object produced by [fit()] or [fit_xy()].
 #' @param new_data A data frame or matrix.
 #' @param ... Not currently used.
+#' @rdname augment
 #' @export
 #' @examples
 #' car_trn <- mtcars[11:32,]

R/data.R

@@ -7,7 +7,7 @@
 #' @aliases model_db
 #' @docType data
 #' @return \item{model_db}{a data frame}
-#' @keywords datasets
+#' @keywords datasets internal
 #' @examples
 #' data(model_db)
 NULL

R/nullmodel.R

@@ -31,7 +31,7 @@
 #'
 #' `predict.nullmodel()` returns either a factor or numeric vector
 #' depending on the class of \code{y}. All predictions are always the same.
-#' @keywords models
+#' @keywords models internal
 #' @examples
 #'
 #' outcome <- factor(sample(letters[1:2],
@@ -181,6 +181,7 @@ null_model <-
 #' @param ... Not used.
 #' @return A tibble with column `value`.
 #' @export
+#' @keywords internal
 #' @examples
 #'
 #' nullmodel(mtcars[,-1], mtcars$mpg) %>% tidy()

R/tidy_glmnet.R

@@ -9,6 +9,7 @@
 #' @return A tibble with columns `term`, `estimate`, and `penalty`. When a
 #' multinomial mode is used, an additional `class` column is included.
 #' @importFrom stats coef
+#' @keywords internal
 #' @export
 tidy._elnet <- function(x, penalty = NULL, ...) {
   tidy_glmnet(x, penalty)

R/varying.R

@@ -2,6 +2,7 @@
 #'
 #' [varying()] is used when a parameter will be specified at a later date.
 #' @export
+#' @keywords internal
 varying <- function() {
   quote(varying())
 }
@@ -58,6 +59,7 @@ generics::varying_args
 #'   varying_args()
 #'
 #' @importFrom purrr map map_lgl
+#' @rdname varying_args
 #' @export
 varying_args.model_spec <- function(object, full = TRUE, ...) {
 
@@ -94,7 +96,7 @@ varying_args.model_spec <- function(object, full = TRUE, ...) {
 
 #' @importFrom purrr map2_dfr map_chr
 #' @export
-#' @rdname varying_args.model_spec
+#' @rdname varying_args
 varying_args.recipe <- function(object, full = TRUE, ...) {
 
   steps <- object$steps
@@ -108,7 +110,7 @@ varying_args.recipe <- function(object, full = TRUE, ...) {
 
 #' @importFrom purrr map map_lgl
 #' @export
-#' @rdname varying_args.model_spec
+#' @rdname varying_args
 varying_args.step <- function(object, full = TRUE, ...) {
 
   # Unique step id

_pkgdown.yml

@@ -37,30 +37,40 @@ reference:
   - title: Infrastructure
     contents:
       - add_rowindex
+      - augment.model_fit
       - descriptors
       - fit.model_spec
       - fit_xy
       - fit_control
+      - glance.model_fit
       - model_fit
       - model_spec
-      - predict.model_fit
       - multi_predict
+      - parsnip_addin
+      - predict.model_fit
+      - reexports
+      - repair_call
       - set_args
       - set_engine
       - set_mode
+      - show_engines
       - tidy.model_fit
       - translate
-      - augment.model.fit
+      - varying_args.model_spec
 
   - title: Developer Tools
     contents:
+      - contr_one_hot
       - set_new_model
       - starts_with("set_model_")
       - set_dependency
       - set_fit
       - set_pred
       - show_model_info
       - starts_with("get_")
+      - maybe_matrix
+      - min_cols
+      - req_pkgs