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BGPhazard (version 1.2.3)

Markov Beta and Gamma Processes for Modeling Hazard Rates

Description

Computes the hazard rate estimate as described by Nieto-Barajas and Walker (2002) and Nieto-Barajas (2003).

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Version

Install

install.packages('BGPhazard')

Monthly Downloads

283

Version

1.2.3

License

GPL (>= 2)

Maintainer

Jose Antonio Garcia Bueno

Last Published

February 11th, 2016

Functions in BGPhazard (1.2.3)

CGaPlotDiag

Diagnosis plots for lambda, u, c, epsilon and theta
BeNM

n and m vectors for the beta process
Cftheta

Theta distribution
CGaMRes

Markov Gamma Model with Covariates
GaUpdC

c.r update
GaMRes

Markov Gamma Model
GaTao

tao partition
GaUpdU

u.r update
BePloth

Plots for the Hazard and Survival Function Estimates
UpdLambda

lambda update
GaPlotDiag

Diagnosis plots for lambda, u, c and epsilon
BePrU

Probability matrix for u
BeUpdU

u.r update
GaNM

n and m vectors for the gamma process
CGaPloth

Plots for the Hazard and Survival Function Estimates
GaPrU

Probability matrix for u
PiSumm

Summary for Pi
PlotTheta

Plots and summarises the covariate coefficients
LambdaSumm

Summary for Lambda
BePlotDiag

Diagnosis plots for Pi, u, c and epsilon
BePrC

Probability matrix for c
leukemiaFZ

Survival Times of Patients with Leukemia (Feigl and Zelen)
CGaM

m vector for the gamma process with time covariates
CLambdaSumm

Summary for Lambda
UpdPi

Pi update
CGaN

n vector for the gamma process with covariates
gehan

Times of Remission of Leukemia Patients (Gehan)
BeTao

tao partition
CGaPred

Predictive hazard function
psych

Death Times of Psychiatric Patients (Woolson)
BGPhazard-package

Markov Beta and Gamma Processes for Modeling Hazard Rates
BeUpdC

c.r update
CUpdTheta

theta update
GaPloth

Plots for the Hazard and Survival Function Estimates
BeMRes

Markov Beta Model