PostMeanSurvPLLH: Computes the posterior mean survival probabilities for a...
In BayesReversePLLH: Fits the Bayesian Piecewise Linear Log-Hazard Model
View source: R/PostMeanSurvPLLH.R
PostMeanSurvPLLH R Documentation
Computes the posterior mean survival probabilities for a vector x for the Piecewise Linear Log Hazard model (PLLH)
Description
Computes the posterior mean survival probabilities for a vector x for the Piecewise Linear Log Hazard model (PLLH)
Usage
PostMeanSurvPLLH(x, G1)
Arguments
x
Vector of times to compute the posterior mean survival probability.
G1
List of posterior samples from the BayesPiecewiseLinearLogHazard function.
Value
Vector containing the posterior mean survival probabilities S(x)
BayesReversePLLH documentation built on Oct. 20, 2022, 5:05 p.m.
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View source: R/PostMeanSurvPLLH.R
| PostMeanSurvPLLH | R Documentation |
Computes the posterior mean survival probabilities for a vector x for the Piecewise Linear Log Hazard model (PLLH)
Description
Computes the posterior mean survival probabilities for a vector x for the Piecewise Linear Log Hazard model (PLLH)
Usage
PostMeanSurvPLLH(x, G1)
Arguments
x |
Vector of times to compute the posterior mean survival probability. |
G1 |
List of posterior samples from the BayesPiecewiseLinearLogHazard function. |
Value
Vector containing the posterior mean survival probabilities S(x)
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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