rLogrank: Randomly samples from a logrank distribution
In safestats: Safe Anytime-Valid Inference
rLogrank R Documentation
Randomly samples from a logrank distribution
Description
Draws a number of occurrences in group 1 (treatment) out of
obsTotal number of occurrences.
Usage
rLogrank(n = 1, y0, y1, obsTotal, theta)
Arguments
n
integer, number of observations to be sampled.
y0
Size of the risk set of group 0 (Placebo).
y1
Size of the risk set of group 1 (Treatment).
obsTotal
Total number of observations.
theta
Odds of group 1 over group 0 (treatment over placebo).
Value
integer representing the number of occurrences in group 1 out of
obsTotal number of occurrences.
Author(s)
Muriel Felipe Perez-Ortiz and Alexander Ly
References
Grünwald, P. D., de Heide, R., & Koolen, W. (2024). Safe testing. Journal of the Royal Statistical Society. Series B (Methodological), 86(5), 1091-1128. (With discussions), https://doi.org/10.1093/jrsssb/qkae011.
ter Schure, J., Pérez-Ortiz, M. F., Ly, A., & Grünwald, P. D. (2024). The Safe Logrank Test: Error control under continuous monitoring with unlimited horizon. The New England Journal of Statistics in Data Science, 2(2), 190-214, https://doi.org/10.51387/24-NEJSDS65.
Examples
rLogrank(y0=360, y1=89, obsTotal=12, theta=3.14)
safestats documentation built on Sept. 6, 2026, 1:06 a.m.
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| rLogrank | R Documentation |
Randomly samples from a logrank distribution
Description
Draws a number of occurrences in group 1 (treatment) out of obsTotal number of occurrences.
Usage
rLogrank(n = 1, y0, y1, obsTotal, theta)
Arguments
n |
integer, number of observations to be sampled. |
y0 |
Size of the risk set of group 0 (Placebo). |
y1 |
Size of the risk set of group 1 (Treatment). |
obsTotal |
Total number of observations. |
theta |
Odds of group 1 over group 0 (treatment over placebo). |
Value
integer representing the number of occurrences in group 1 out of obsTotal number of occurrences.
Author(s)
Muriel Felipe Perez-Ortiz and Alexander Ly
References
Grünwald, P. D., de Heide, R., & Koolen, W. (2024). Safe testing. Journal of the Royal Statistical Society. Series B (Methodological), 86(5), 1091-1128. (With discussions), https://doi.org/10.1093/jrsssb/qkae011. ter Schure, J., Pérez-Ortiz, M. F., Ly, A., & Grünwald, P. D. (2024). The Safe Logrank Test: Error control under continuous monitoring with unlimited horizon. The New England Journal of Statistics in Data Science, 2(2), 190-214, https://doi.org/10.51387/24-NEJSDS65.
Examples
rLogrank(y0=360, y1=89, obsTotal=12, theta=3.14)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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