Deploying to gh-pages from @ 1b56b9f 🚀

Author: LittleBeannie

pkgdown.yml

@@ -22,7 +22,7 @@ articles:
   articles/story-seven-test-types: story-seven-test-types.html
   articles/story-spending-time-example: story-spending-time-example.html
   articles/story-update-boundary: story-update-boundary.html
-last_built: 2025-11-07T22:51Z
+last_built: 2025-11-07T22:58Z
 urls:
   reference: https://merck.github.io/gsDesign2/reference
   article: https://merck.github.io/gsDesign2/articles

reference/text_summary.html

@@ -40,7 +40,7 @@ library(gsDesign)
 # Text summary of a 1-sided design
 x <- gs_design_ahr(info_frac = 1:3/3, test_lower = FALSE) |> to_integer()
 x |> text_summary()
-#> [1] "One-sided group sequential design with 3 analyses, time-to-event outcome with sample size 490 and 301 events, 2.5 percent (1-sided) Type I error. Enrollment and total study durations are assumed to be 14 and 36.1 months, respectively. Efficacy bounds derived using a Lan-DeMets O'Brien-Fleming approximation spending function (no parameters). With hazard ratio of 0.9 during the first 3 months and 0.6 thereafter, the power is 90 percent."
+#> [1] "One-sided group sequential design with 3 analyses, time-to-event outcome with sample size 490 and 301 events, 90 percent power, 2.5 percent (1-sided) Type I error to detect hazard ratio of 0.9 during the first 3 months and 0.6 thereafter. Enrollment and total study durations are assumed to be 14 and 36.1 months, respectively. Efficacy bounds derived using a Lan-DeMets O'Brien-Fleming approximation spending function (no parameters)."
 
 # Text summary of a 2-sided symmetric design
 x <- gs_design_ahr(info_frac = 1:3/3,
@@ -49,7 +49,7 @@ x <- gs_design_ahr(info_frac = 1:3/3,
                    lpar = list(sf = sfLDOF, total_spend = 0.025),
                    binding = TRUE, h1_spending = FALSE) |> to_integer()
 x |> text_summary()
-#> [1] "Symmetric two-sided group sequential design with 3 analyses, time-to-event outcome with sample size 490 and 301 events, 2.5 percent (1-sided) Type I error. Enrollment and total study durations are assumed to be 14 and 36.1 months, respectively. Bounds derived using a  Lan-DeMets O'Brien-Fleming approximation spending function (no parameters). With hazard ratio of 0.9 during the first 3 months and 0.6 thereafter, the power is 90 percent."
+#> [1] "Symmetric two-sided group sequential design with 3 analyses, time-to-event outcome with sample size 490 and 301 events, 90 percent power, 2.5 percent (1-sided) Type I error to detect hazard ratio of 0.9 during the first 3 months and 0.6 thereafter. Enrollment and total study durations are assumed to be 14 and 36.1 months, respectively. Bounds derived using a  Lan-DeMets O'Brien-Fleming approximation spending function (no parameters)."
 
 # Text summary of a asymmetric 2-sided design with beta-spending and non-binding futility bound
 x <- gs_design_ahr(info_frac = 1:3/3, alpha = 0.025, beta = 0.1,
@@ -58,7 +58,7 @@ x <- gs_design_ahr(info_frac = 1:3/3, alpha = 0.025, beta = 0.1,
                    lpar = list(sf = sfHSD, total_spend = 0.1, param = -4),
                    binding = FALSE, h1_spending = TRUE) |> to_integer()
 x |> text_summary()
-#> [1] "Asymmetric two-sided group sequential design with non-binding futility bound, 3 analyses, time-to-event outcome with sample size 500 and 306 events, 2.5 percent (1-sided) Type I error. Enrollment and total study durations are assumed to be 14 and 35.9 months, respectively. Efficacy bounds derived using a Lan-DeMets O'Brien-Fleming approximation spending function (no parameters). Futility bounds derived using a Hwang-Shih-DeCani spending function with gamma = -4. With hazard ratio of 0.9 during the first 3 months and 0.6 thereafter, the power is 90 percent."
+#> [1] "Asymmetric two-sided group sequential design with non-binding futility bound, 3 analyses, time-to-event outcome with sample size 500 and 306 events, 90 percent power, 2.5 percent (1-sided) Type I error to detect hazard ratio of 0.9 during the first 3 months and 0.6 thereafter. Enrollment and total study durations are assumed to be 14 and 35.9 months, respectively. Efficacy bounds derived using a Lan-DeMets O'Brien-Fleming approximation spending function (no parameters). Futility bounds derived using a Hwang-Shih-DeCani spending function with gamma = -4."
 
 # Text summary of a asymmetric 2-sided design with fixed non-binding futility bound
 x <- gs_design_ahr(info_frac = 1:3/3, alpha = 0.025, beta = 0.1,
@@ -69,7 +69,7 @@ x <- gs_design_ahr(info_frac = 1:3/3, alpha = 0.025, beta = 0.1,
                    test_lower = c(TRUE, FALSE, FALSE),
                    binding = FALSE, h1_spending = TRUE) |> to_integer()
 x |> text_summary()
-#> [1] "Asymmetric two-sided group sequential design with non-binding futility bound, 3 analyses, time-to-event outcome with sample size 506 and 311 events, 2.5 percent (1-sided) Type I error. Enrollment and total study durations are assumed to be 14 and 36.1 months, respectively. Efficacy bounds derived using a Lan-DeMets O'Brien-Fleming approximation spending function (no parameters), tested at tested at IA2, FA. Futility bounds is fixed as -1, -Inf, -Inf, tested at tested at IA1. With hazard ratio of 0.9 during the first 3 months and 0.6 thereafter, the power is 90 percent."
+#> [1] "Asymmetric two-sided group sequential design with non-binding futility bound, 3 analyses, time-to-event outcome with sample size 506 and 311 events, 90 percent power, 2.5 percent (1-sided) Type I error to detect hazard ratio of 0.9 during the first 3 months and 0.6 thereafter. Enrollment and total study durations are assumed to be 14 and 36.1 months, respectively. Efficacy bounds derived using a Lan-DeMets O'Brien-Fleming approximation spending function (no parameters), tested at tested at IA2, FA. Futility bounds is fixed as -1, -Inf, -Inf, tested at tested at IA1."
 
 # If there are >5 pieces of HRs, we provide a brief summary of HR.
 gs_design_ahr(