confintAsin.fun: Compute confidence intervals for the beta parameters
In NHPoisson: Modelling and Validation of Non Homogeneous Poisson Processes

Description Usage Arguments Details Value References See Also Examples

This function computes confidence intervals for the β parameters.

1	confintAsin.fun(mlePP, level = 0.95)

`mlePP`	A `"mlePP"`-class object; usually the output from `fitPP.fun`.
`level`	The confidence level required for the intervals.

The confidence intervals calculated by this function are based on the asymptotic normal approximation of th MLE of the β parameters, that is ( \hat β -z_{(1-α/2)}s.e.(\hat β ), \hat β +z_{(1-α/2)} s.e.(\hat β ) ) with α=1-level

A matrix with two columns, the first contains the lower limits of the confidence intervals of all the parameters and the second the upper limits.

Casella, G. and Berger, R.L., (2002). Statistical inference. Brooks/Cole.

Cebrian, A.C., Abaurrea, J. and Asin, J. (2015). NHPoisson: An R Package for Fitting and Validating Nonhomogeneous Poisson Processes. Journal of Statistical Software, 64(6), 1-24.

confint, VARbeta.fun

data(BarTxTn)

covB<-cbind(cos(2*pi*BarTxTn$dia/365), sin(2*pi*BarTxTn$dia/365), 
	BarTxTn$TTx,BarTxTn$Txm31,BarTxTn$Txm31**2)

BarEv<-POTevents.fun(T=BarTxTn$Tx,thres=318, 
	date=cbind(BarTxTn$ano,BarTxTn$mes,BarTxTn$dia))

mod1B<-fitPP.fun(covariates=covB, 
	posE=BarEv$Px, inddat=BarEv$inddat,
	tit="BAR Tx; cos, sin, TTx, Txm31, Txm31**2", 
	start=list(b0=-100,b1=1,b2=-1,b3=0,b4=0,b5=0))

confintAsin.fun(mod1B)