Added orcid to description file.

DESCRIPTION

@@ -1,15 +1,15 @@
 Package: treeshap
 Title: Compute SHAP Values for Your Tree-Based Models Using the 'TreeSHAP'
     Algorithm
-Version: 0.2.5.9000
+Version: 0.2.5.9001
 Authors@R: c(
-    person("Konrad", "Komisarczyk", , "komisarczykkonrad@gmail.com", role = "aut"),
-    person("Pawel", "Kozminski", , "pkozminski99@gmail.com", role = "aut"),
+    person("Konrad", "Komisarczyk", email = "komisarczykkonrad@gmail.com", role = "aut"),
+    person("Pawel", "Kozminski", email = "pkozminski99@gmail.com", role = "aut"),
     person("Szymon", "Maksymiuk", role = "aut"),
-    person("Lorenz A.", "Kapsner", role = "ctb"),
+    person("Lorenz A.", "Kapsner", role = "ctb", comment = c(ORCID = "0000-0003-1866-860X")),
     person("Mikolaj", "Spytek", role = "ctb"),
-    person("Mateusz", "Krzyzinski", , "krzyzinskimateusz23@gmail.com", role = c("ctb", "cre")),
-    person("Przemyslaw", "Biecek", , "przemyslaw.biecek@gmail.com", role = c("aut", "cph"))
+    person("Mateusz", "Krzyzinski", email = "krzyzinskimateusz23@gmail.com", role = c("ctb", "cre")),
+    person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cph"))
   )
 Description: An efficient implementation of the 'TreeSHAP' algorithm
     introduced by Lundberg et al., (2020) <doi:10.1038/s42256-019-0138-9>.

R/unify_ranger_surv.R

@@ -61,7 +61,6 @@
 #' unified_model_risk <- ranger_surv.unify(rf, train_x, type = "risk")
 #' shaps <- treeshap(unified_model_risk, train_x[1:2,])
 #'
-#'
 #' # compute shaps for 3 selected time points
 #' unified_model_surv <- ranger_surv.unify(rf, train_x, type = "survival", times = c(23, 50, 73))
 #' for (i in 1:3) {

tests/testthat/test_ranger_surv.R

@@ -165,7 +165,6 @@ test_that('ranger_surv.unify (type = "survival"): mean prediction calculated usi
 
   #expect_true(all(abs((intercept_predict - intercept_covers) / intercept_predict) < 10**(-14)))
   expect_equal(intercept_predict, intercept_covers)
-
 })
 
 test_that('ranger_surv.unify (type = "survival"): covers correctness', {