dot-mu_update: Calculate mu posterior update
In BayesFBHborrow: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
.mu_update R Documentation
Calculate mu posterior update
Description
Calculate mu posterior update
Usage
.mu_update(Sigma_s, lambda_0, sigma2, J)
Arguments
Sigma_s
VCV matrix (j + 1) x (j + 1).
lambda_0
Baseline hazard.
sigma2
Scale variance.
J
Number of split point.
Value
mu update from Normal.
BayesFBHborrow documentation built on Sept. 30, 2024, 9:17 a.m.
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| .mu_update | R Documentation |
Calculate mu posterior update
Description
Calculate mu posterior update
Usage
.mu_update(Sigma_s, lambda_0, sigma2, J)
Arguments
Sigma_s |
VCV matrix (j + 1) x (j + 1). |
lambda_0 |
Baseline hazard. |
sigma2 |
Scale variance. |
J |
Number of split point. |
Value
mu update from Normal.
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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