condS: Compute the conditional survival function for Interval...
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condS R Documentation
Compute the conditional survival function for Interval Censored Survival Data
Description
A method to compute the survival function for the
interval censored survival data based on a spline function based constrained
maximum likelihood estimator. The maximization process of likelihood is
carried out by generalized gradient projection method.
Usage
condS(L, R, M, Delta, t, m)
Arguments
L
The numericvector of left limit of observed time. For left censored observations L == 0.
R
The numericvector of right limit of observed time. For right censored observation R == inf.
M
An array contains marker levels for the samples.
Delta
An array of indicator for the censored type, use 1, 2, 3 for
event happened before the left bound time, within the defined time range, and
after.
t
A scalar indicates the predict time.
m
A scalar for the cutoff of the marker variable.
References
Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation
of the joint distribution function with bivariate current status data.
Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>
cenROC documentation built on March 31, 2023, 5:19 p.m.
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| condS | R Documentation |
Compute the conditional survival function for Interval Censored Survival Data
Description
A method to compute the survival function for the interval censored survival data based on a spline function based constrained maximum likelihood estimator. The maximization process of likelihood is carried out by generalized gradient projection method.
Usage
condS(L, R, M, Delta, t, m)
Arguments
L |
The numericvector of left limit of observed time. For left censored observations |
R |
The numericvector of right limit of observed time. For right censored observation |
M |
An array contains marker levels for the samples. |
Delta |
An array of indicator for the censored type, use 1, 2, 3 for event happened before the left bound time, within the defined time range, and after. |
t |
A scalar indicates the predict time. |
m |
A scalar for the cutoff of the marker variable. |
References
Wu, Yuan; Zhang, Ying. Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data. Ann. Statist. 40, 2012, 1609-1636 <doi:10.1214/12-AOS1016>
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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