0.2.0 CRAN version (#670)

* http -> https

* version bump

* changed " character

* remove references to censored functions

* fix flexsurv links

Author: topepo

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: parsnip
 Title: A Common API to Modeling and Analysis Functions
-Version: 0.1.7.9006
+Version: 0.2.0
 Authors@R: c(
     person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre")),
     person("Davis", "Vaughan", , "davis@rstudio.com", role = "aut"),

NEWS.md

@@ -1,4 +1,4 @@
-# parsnip (development version)
+# parsnip 0.2.0
 
 ## Model Specification Changes
 

man/details_C5_rules_C5.0.Rd

@@ -38,7 +38,7 @@ boost_tree() %>%
   translate()
 ```
 
-[blackboost_train()] is a wrapper around [mboost::blackboost()] (and other functions) that makes it easier to run this model. 
+`censored::blackboost_train()` is a wrapper around [mboost::blackboost()] (and other functions) that makes it easier to run this model. 
 
 ## Preprocessing requirements
 

man/details_boost_tree_mboost.Rd

@@ -45,7 +45,7 @@ boost_tree() %>%
 ##     family = mboost::CoxPH())
 ```
 
-[blackboost_train()] is a wrapper around [mboost::blackboost()] (and other functions) that makes it easier to run this model. 
+`censored::blackboost_train()` is a wrapper around [mboost::blackboost()] (and other functions) that makes it easier to run this model. 
 
 ## Preprocessing requirements
 

man/details_cubist_rules_Cubist.Rd

@@ -42,7 +42,7 @@ decision_tree(tree_depth = integer(1), min_n = integer(1)) %>%
   translate()
 ```
 
-[cond_inference_surv_ctree()] is a wrapper around [party::ctree()] (and other functions) that makes it easier to run this model. 
+`censored::cond_inference_surv_ctree()` is a wrapper around [party::ctree()] (and other functions) that makes it easier to run this model. 
 
 ## Preprocessing requirements
 

man/details_decision_tree_party.Rd

@@ -48,7 +48,7 @@ decision_tree(tree_depth = integer(1), min_n = integer(1)) %>%
 ##         data))
 ```
 
-[cond_inference_surv_ctree()] is a wrapper around [party::ctree()] (and other functions) that makes it easier to run this model. 
+`censored::cond_inference_surv_ctree()` is a wrapper around [party::ctree()] (and other functions) that makes it easier to run this model. 
 
 ## Preprocessing requirements
 

man/details_discrim_linear_sda.Rd

@@ -51,4 +51,4 @@ Variance calculations are used in these computations so _zero-variance_ predicto
 
 ## References
 
- - Ahdesmaki, A., and K. Strimmer. 2010. Feature selection in omics prediction problems using cat scores and false non-discovery rate control. Ann. Appl. Stat. 4: 503-519. [Preprint](http://arxiv.org/abs/0903.2003).
+ - Ahdesmaki, A., and K. Strimmer. 2010. Feature selection in omics prediction problems using cat scores and false non-discovery rate control. Ann. Appl. Stat. 4: 503-519. [Preprint](https://arxiv.org/abs/0903.2003).

man/details_rand_forest_party.Rd

@@ -36,7 +36,7 @@ rand_forest() %>%
   translate()
 ```
 
-[cond_inference_surv_cforest()] is a wrapper around [party::cforest()] (and other functions) that makes it easier to run this model. 
+`censored::cond_inference_surv_cforest()` is a wrapper around [party::cforest()] (and other functions) that makes it easier to run this model. 
 
 ## Preprocessing requirements
 

man/details_surv_reg_flexsurv.Rd

@@ -39,7 +39,7 @@ rand_forest() %>%
 ##     data = missing_arg())
 ```
 
-[cond_inference_surv_cforest()] is a wrapper around [party::cforest()] (and other functions) that makes it easier to run this model. 
+`censored::cond_inference_surv_cforest()` is a wrapper around [party::cforest()] (and other functions) that makes it easier to run this model. 
 
 ## Preprocessing requirements
 

man/details_survival_reg_flexsurv.Rd

@@ -37,7 +37,7 @@ surv_reg(dist = character(1)) %>%
 
 The main interface for this model uses the formula method since the model specification typically involved the use of [survival::Surv()]. 
 
-For this engine, stratification cannot be specified via [`strata()`], please see the documentation of the [`flexsurv::flexsurv-package`] package for alternative specifications.
+For this engine, stratification cannot be specified via [`strata()`], please see [flexsurv::flexsurvreg()] for alternative specifications.
 
 ## References
 

man/rmd/boost_tree_mboost.Rmd

@@ -39,7 +39,7 @@ surv_reg(dist = character(1)) %>%
 
 The main interface for this model uses the formula method since the model specification typically involved the use of [survival::Surv()]. 
 
-For this engine, stratification cannot be specified via [`strata()`], please see the documentation of the [`flexsurv::flexsurv-package`] package for alternative specifications.
+For this engine, stratification cannot be specified via [`strata()`], please see [flexsurv::flexsurvreg()] for alternative specifications.
 
 ## References
 

man/rmd/boost_tree_mboost.md

@@ -40,7 +40,7 @@ survival_reg(dist = character(1)) %>%
 
 The main interface for this model uses the formula method since the model specification typically involved the use of [survival::Surv()]. 
 
-For this engine, stratification cannot be specified via [strata()]; please see the documentation of the [flexsurv] package for alternative specifications.
+For this engine, stratification cannot be specified via [`strata()`], please see [flexsurv::flexsurvreg()] for alternative specifications.
 
 ## References
 

man/rmd/decision_tree_party.Rmd

@@ -42,7 +42,7 @@ survival_reg(dist = character(1)) %>%
 
 The main interface for this model uses the formula method since the model specification typically involved the use of [survival::Surv()]. 
 
-For this engine, stratification cannot be specified via [strata()]; please see the documentation of the [flexsurv] package for alternative specifications.
+For this engine, stratification cannot be specified via [`strata()`], please see [flexsurv::flexsurvreg()] for alternative specifications.
 
 ## References