grace: GRACE 1000 Dataset
In mlr-org/mlr3proba: Probabilistic Supervised Learning for 'mlr3'
grace R Documentation
GRACE 1000 Dataset
Description
grace dataset from Hosmer et al. (2008)
Usage
grace
Format
- id
Identification Code
- days
Follow up time.
- death
Censoring indicator. 1 = Death. 0 = Censored.
- revasc
Revascularization Performed. 1 = Yes. 0 = No.
- revascdays
Days to revascularization after admission.
- los
Length of hospital stay (days).
- age
Age at admission (years).
- sysbp
Systolic blood pressure on admission (mm Hg).
- stchange
ST-segment deviation on index ECG. 1 = Yes. 0 = No.
Source
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470258019
References
Hosmer, D.W. and Lemeshow, S. and May, S. (2008)
Applied Survival Analysis: Regression Modeling of Time to Event Data: Second
Edition, John Wiley and Sons Inc., New York, NY
mlr-org/mlr3proba documentation built on April 12, 2025, 4:38 p.m.
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| grace | R Documentation |
GRACE 1000 Dataset
Description
grace dataset from Hosmer et al. (2008)
Usage
grace
Format
- id
Identification Code
- days
Follow up time.
- death
Censoring indicator. 1 = Death. 0 = Censored.
- revasc
Revascularization Performed. 1 = Yes. 0 = No.
- revascdays
Days to revascularization after admission.
- los
Length of hospital stay (days).
- age
Age at admission (years).
- sysbp
Systolic blood pressure on admission (mm Hg).
- stchange
ST-segment deviation on index ECG. 1 = Yes. 0 = No.
Source
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470258019
References
Hosmer, D.W. and Lemeshow, S. and May, S. (2008) Applied Survival Analysis: Regression Modeling of Time to Event Data: Second Edition, John Wiley and Sons Inc., New York, NY
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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