dot-lambda_conj_prop: Propose lambda from a gamma conditional conjugate posterior...
In BayesFBHborrow: Bayesian Dynamic Borrowing with Flexible Baseline Hazard Function
.lambda_conj_prop R Documentation
Propose lambda from a gamma conditional conjugate posterior proposal
Description
Propose lambda from a gamma conditional conjugate posterior proposal
Usage
.lambda_conj_prop(df, beta, j, bp, alam = 0.01, blam = 0.01)
Arguments
df
data.frame from dataframe_fun()
beta
parameter value for beta
j
current split point
bp
number of covariates
alam
lambda hyperparameter, default set to 0.01
blam
lambda hyperparameter, default set to 0.01
Value
list containing proposed lambda, shape and rate parameters
BayesFBHborrow documentation built on Sept. 30, 2024, 9:17 a.m.
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| .lambda_conj_prop | R Documentation |
Propose lambda from a gamma conditional conjugate posterior proposal
Description
Propose lambda from a gamma conditional conjugate posterior proposal
Usage
.lambda_conj_prop(df, beta, j, bp, alam = 0.01, blam = 0.01)
Arguments
df |
data.frame from dataframe_fun() |
beta |
parameter value for beta |
j |
current split point |
bp |
number of covariates |
alam |
lambda hyperparameter, default set to 0.01 |
blam |
lambda hyperparameter, default set to 0.01 |
Value
list containing proposed lambda, shape and rate parameters
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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