cran fix

.Rbuildignore

@@ -1,4 +1,4 @@
-^LICENSE\.md
+^LICENSE$
 ^inst/data-raw$
 ^tic\.R$
 ^appveyor\.yml$

CRAN-RELEASE

@@ -0,0 +1,2 @@
+This package was submitted to CRAN on 2020-06-05.
+Once it is accepted, delete this file and tag the release (commit 36bec39f59).

README.Rmd

@@ -99,7 +99,7 @@ for instructions in how to install learners from the [mlr3learners organisation]
 | [surv.nelson](https://github.com/mlr3learners/mlr3learners.survival) | Nelson-Aalen Estimator | [survival](https://CRAN.R-project.org/package=survival) |
 | [surv.parametric](https://github.com/mlr3learners/mlr3learners.survival) | Fully Parametric Survival Models | [survival](https://CRAN.R-project.org/package=survival) |
 | [surv.penalized](https://github.com/mlr3learners/mlr3learners.penalized) | L1 and L2 Penalized Estimation in GLMs | [penalized](https://CRAN.R-project.org/package=penalized) |
-| [surv.randomForestSRC](https://mlr3proba.mlr-org.com/reference/LearnerSurvRandomForestSRC.html) | RandomForestSRC Survival Forest | [randomForestSRC](https://CRAN.R-project.org/package=randomForestSRC) |
+| [surv.randomForestSRC](https://github.com/mlr3learners/mlr3learners.randomforestsrc) | RandomForestSRC Survival Forest | [randomForestSRC](https://CRAN.R-project.org/package=randomForestSRC) |
 | [surv.ranger](https://mlr3proba.mlr-org.com/reference/LearnerSurvRanger.html) | Ranger Survival Forest | [ranger](https://CRAN.R-project.org/package=ranger) |
 | [surv.rpart](https://mlr3proba.mlr-org.com/reference/LearnerSurvRpart.html) | Rpart Survival Forest | [rpart](https://CRAN.R-project.org/package=rpart) |
 | [surv.svm](https://github.com/mlr3learners/mlr3learners.survivalsvm) |  Regression, Ranking and Hybrid Support Vector Machines | [survivalsvm](https://CRAN.R-project.org/package=survivalsvm) |

README.md

@@ -106,28 +106,28 @@ repository](https://github.com/mlr-org/mlr3learners), or the
 instructions in how to install learners from the [mlr3learners
 organisation](https://github.com/mlr3learners).
 
-| ID                                                                                              | Learner                                                   | Package                                                               |
-| :---------------------------------------------------------------------------------------------- | :-------------------------------------------------------- | :-------------------------------------------------------------------- |
-| [surv.blackboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvBlackboost.html)           | Gradient Boosting with Regression Trees                   | [mboost](https://CRAN.R-project.org/package=mboost)                   |
-| [surv.coxboost](https://github.com/mlr3learners/mlr3learners.coxboost)                          | Cox Model with Likelihood Based Boosting                  | [CoxBoost](https://CRAN.R-project.org/package=CoxBoost)               |
-| [surv.coxph](https://mlr3proba.mlr-org.com/reference/LearnerSurvCoxPH.html)                     | Cox Proportional Hazards                                  | [survival](https://CRAN.R-project.org/package=survival)               |
-| [surv.cvcoxboost](https://github.com/mlr3learners/mlr3learners.coxboost)                        | Cox Model with Cross-Validation Likelihood Based Boosting | [CoxBoost](https://CRAN.R-project.org/package=CoxBoost)               |
-| [surv.cvglmnet](https://mlr3proba.mlr-org.com/reference/LearnerSurvCVGlmnet.html)               | Cross-Validated GLM with Elastic Net Regularization       | [glmnet](https://CRAN.R-project.org/package=glmnet)                   |
-| [surv.flexible](https://github.com/mlr3learners/mlr3learners.flexsurv)                          | Flexible Parametric Spline Models                         | [flexsurv](https://CRAN.R-project.org/package=flexsurv)               |
-| [surv.gamboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvGamboost.html)               | Gradient Boosting for Additive Models                     | [mboost](https://CRAN.R-project.org/package=mboost)                   |
-| [surv.gbm](https://mlr3proba.mlr-org.com/reference/LearnerSurvGBM.html)                         | Generalized Boosting Regression Modeling                  | [gbm](https://CRAN.R-project.org/package=gbm)                         |
-| [surv.glmboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvGlmboost.html)               | Gradient Boosting with Component-wise Linear Models       | [mboost](https://CRAN.R-project.org/package=mboost)                   |
-| [surv.glmnet](https://mlr3proba.mlr-org.com/reference/LearnerSurvGlmnet.html)                   | GLM with Elastic Net Regularization                       | [glmnet](https://CRAN.R-project.org/package=glmnet)                   |
-| [surv.kaplan](https://mlr3proba.mlr-org.com/reference/LearnerSurvKaplan.html)                   | Kaplan-Meier Estimator                                    | [survival](https://CRAN.R-project.org/package=survival)               |
-| [surv.mboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvMboost.html)                   | Gradient Boosting for Generalized Additive Models         | [mboost](https://CRAN.R-project.org/package=mboost)                   |
-| [surv.nelson](https://github.com/mlr3learners/mlr3learners.survival)                            | Nelson-Aalen Estimator                                    | [survival](https://CRAN.R-project.org/package=survival)               |
-| [surv.parametric](https://github.com/mlr3learners/mlr3learners.survival)                        | Fully Parametric Survival Models                          | [survival](https://CRAN.R-project.org/package=survival)               |
-| [surv.penalized](https://github.com/mlr3learners/mlr3learners.penalized)                        | L1 and L2 Penalized Estimation in GLMs                    | [penalized](https://CRAN.R-project.org/package=penalized)             |
-| [surv.randomForestSRC](https://mlr3proba.mlr-org.com/reference/LearnerSurvRandomForestSRC.html) | RandomForestSRC Survival Forest                           | [randomForestSRC](https://CRAN.R-project.org/package=randomForestSRC) |
-| [surv.ranger](https://mlr3proba.mlr-org.com/reference/LearnerSurvRanger.html)                   | Ranger Survival Forest                                    | [ranger](https://CRAN.R-project.org/package=ranger)                   |
-| [surv.rpart](https://mlr3proba.mlr-org.com/reference/LearnerSurvRpart.html)                     | Rpart Survival Forest                                     | [rpart](https://CRAN.R-project.org/package=rpart)                     |
-| [surv.svm](https://github.com/mlr3learners/mlr3learners.survivalsvm)                            | Regression, Ranking and Hybrid Support Vector Machines    | [survivalsvm](https://CRAN.R-project.org/package=survivalsvm)         |
-| [surv.xgboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvXgboost.html)                 | Cox Model with Gradient Boosting Trees                    | [xgboost](https://CRAN.R-project.org/package=xgboost)                 |
+| ID                                                                                    | Learner                                                   | Package                                                               |
+| :------------------------------------------------------------------------------------ | :-------------------------------------------------------- | :-------------------------------------------------------------------- |
+| [surv.blackboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvBlackboost.html) | Gradient Boosting with Regression Trees                   | [mboost](https://CRAN.R-project.org/package=mboost)                   |
+| [surv.coxboost](https://github.com/mlr3learners/mlr3learners.coxboost)                | Cox Model with Likelihood Based Boosting                  | [CoxBoost](https://CRAN.R-project.org/package=CoxBoost)               |
+| [surv.coxph](https://mlr3proba.mlr-org.com/reference/LearnerSurvCoxPH.html)           | Cox Proportional Hazards                                  | [survival](https://CRAN.R-project.org/package=survival)               |
+| [surv.cvcoxboost](https://github.com/mlr3learners/mlr3learners.coxboost)              | Cox Model with Cross-Validation Likelihood Based Boosting | [CoxBoost](https://CRAN.R-project.org/package=CoxBoost)               |
+| [surv.cvglmnet](https://mlr3proba.mlr-org.com/reference/LearnerSurvCVGlmnet.html)     | Cross-Validated GLM with Elastic Net Regularization       | [glmnet](https://CRAN.R-project.org/package=glmnet)                   |
+| [surv.flexible](https://github.com/mlr3learners/mlr3learners.flexsurv)                | Flexible Parametric Spline Models                         | [flexsurv](https://CRAN.R-project.org/package=flexsurv)               |
+| [surv.gamboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvGamboost.html)     | Gradient Boosting for Additive Models                     | [mboost](https://CRAN.R-project.org/package=mboost)                   |
+| [surv.gbm](https://mlr3proba.mlr-org.com/reference/LearnerSurvGBM.html)               | Generalized Boosting Regression Modeling                  | [gbm](https://CRAN.R-project.org/package=gbm)                         |
+| [surv.glmboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvGlmboost.html)     | Gradient Boosting with Component-wise Linear Models       | [mboost](https://CRAN.R-project.org/package=mboost)                   |
+| [surv.glmnet](https://mlr3proba.mlr-org.com/reference/LearnerSurvGlmnet.html)         | GLM with Elastic Net Regularization                       | [glmnet](https://CRAN.R-project.org/package=glmnet)                   |
+| [surv.kaplan](https://mlr3proba.mlr-org.com/reference/LearnerSurvKaplan.html)         | Kaplan-Meier Estimator                                    | [survival](https://CRAN.R-project.org/package=survival)               |
+| [surv.mboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvMboost.html)         | Gradient Boosting for Generalized Additive Models         | [mboost](https://CRAN.R-project.org/package=mboost)                   |
+| [surv.nelson](https://github.com/mlr3learners/mlr3learners.survival)                  | Nelson-Aalen Estimator                                    | [survival](https://CRAN.R-project.org/package=survival)               |
+| [surv.parametric](https://github.com/mlr3learners/mlr3learners.survival)              | Fully Parametric Survival Models                          | [survival](https://CRAN.R-project.org/package=survival)               |
+| [surv.penalized](https://github.com/mlr3learners/mlr3learners.penalized)              | L1 and L2 Penalized Estimation in GLMs                    | [penalized](https://CRAN.R-project.org/package=penalized)             |
+| [surv.randomForestSRC](https://github.com/mlr3learners/mlr3learners.randomforestsrc)  | RandomForestSRC Survival Forest                           | [randomForestSRC](https://CRAN.R-project.org/package=randomForestSRC) |
+| [surv.ranger](https://mlr3proba.mlr-org.com/reference/LearnerSurvRanger.html)         | Ranger Survival Forest                                    | [ranger](https://CRAN.R-project.org/package=ranger)                   |
+| [surv.rpart](https://mlr3proba.mlr-org.com/reference/LearnerSurvRpart.html)           | Rpart Survival Forest                                     | [rpart](https://CRAN.R-project.org/package=rpart)                     |
+| [surv.svm](https://github.com/mlr3learners/mlr3learners.survivalsvm)                  | Regression, Ranking and Hybrid Support Vector Machines    | [survivalsvm](https://CRAN.R-project.org/package=survivalsvm)         |
+| [surv.xgboost](https://mlr3proba.mlr-org.com/reference/LearnerSurvXgboost.html)       | Cox Model with Gradient Boosting Trees                    | [xgboost](https://CRAN.R-project.org/package=xgboost)                 |
 
 ### Survival Measures