Credible_interval: Credible interval.
In BayesBP: Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix
Description
Usage
Arguments
Value
References
See Also
View source: R/Credible_interval.R
Description
Builing two dimensional Bernstein polynomial credible interval.
Usage
1
Credible_interval(result, n_cluster = 1, alpha = 0.05)
Arguments
result
This is output of BP2D.
n_cluster
Muticores is remmended.(default:n_cluster=1)
alpha
Level of significance.
Value
Bayesian credible interval with level of significance.
References
L.H. Chien, T.J. Tseng, C.H. Chen, H.F. Jiang, F.Y. Tsai, T.W. Liu, C.A. Hsiung, I.S. Chang Comparison of annual percentage change in breast cancer incidence rate between Taiwan and the United States-A smoothed Lexis diagram approach.
See Also
Other Credible interval:
PD_Credible_interval()
BayesBP documentation built on Aug. 28, 2020, 1:10 a.m.
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Description Usage Arguments Value References See Also
View source: R/Credible_interval.R
Description
Builing two dimensional Bernstein polynomial credible interval.
Usage
1 | Credible_interval(result, n_cluster = 1, alpha = 0.05)
|
Arguments
result |
This is output of BP2D. |
n_cluster |
Muticores is remmended.(default:n_cluster=1) |
alpha |
Level of significance. |
Value
Bayesian credible interval with level of significance.
References
L.H. Chien, T.J. Tseng, C.H. Chen, H.F. Jiang, F.Y. Tsai, T.W. Liu, C.A. Hsiung, I.S. Chang Comparison of annual percentage change in breast cancer incidence rate between Taiwan and the United States-A smoothed Lexis diagram approach.
See Also
Other Credible interval:
PD_Credible_interval()
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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