panelReg.object: Semiparametric Panel Count Regression Object
In jun-yan/spef: Semiparametric Estimating Functions

This S3 class of objects is returned by the panelReg class of functions to represent a fitted semiparametric panel count regression model. Objects of this class have methods for the functions print and plot.

`beta`	a vector, estimated coefficients of the linear predictor.
`baseline`	a step function or spline function, estimated cumulative baseline mean.
`timeGrid`	a vector, ordered unique set of observation times.
`lambda`	a vector, estimated baseline mean for each interval
`convergence`	an integer code, `0` indicates successful convergence, error code `1` indicates that the iteration limit `maxIter` had been reached.
`iter`	an integer value, number of interations when stopped.
`betaSE`	a vector, estimated standard errors of beta.
`betaVar`	a matrix, estimated covariance matrix of beta.
`baselineSE`	a vector, estimated standard error of cumulative baseline mean.