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BayesBP (version 1.1)

Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix

Description

Smoothed lexis diagrams with Bayesian method specifically tailored to cancer incidence data. Providing to calculating slope and constructing credible interval. LC Chien et al. (2015) . LH Chien et al. (2017) .

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Version

Install

install.packages('BayesBP')

Monthly Downloads

389

Version

1.1

License

GPL (>= 2)

Maintainer

Li-Syuan Hong

Last Published

August 27th, 2020

Functions in BayesBP (1.1)

PD_Credible_interval

Credible interval.
bin

Binomial function
Rhat

Gelman Rubin statistics.
simulated_data_1

Generate simulated data 1
simulated_data_2

Generate simulated data 2
scale_to_01

Scale to [0,1]
write.BPtable

Write BPtalbe as xlsx file
write.BP

Write xlsx file
gen_data

Generated data
BPbasis

Bernstein polynomial basis.
PD_BPbasis

Partial differential Bernstein polynomial basis.
BP2D_table

Table and Criterion.
M

Risky population function
BPFhat

Two dimensional Bernstein polynomial
BP2D

Bayesian estimation using two dimensions Bernstein polynomial
PD_BPFhat

Two dimensional Bernstein polynomial
Credible_interval

Credible interval.
BP2D_coef

Getting coefficeint from BP2D result.