hazsurv.plot: Hazard and survival plots
In KironmoyDas/KD-STAT0035-GMupdate: Generalised Joint Regression Modelling

Description Usage Arguments Value Author(s)

This function produces either a survival or hazard plot.

hazsurv.plot(x, eq, newdata, type = "surv", t.range = NULL, t.vec = NULL, 
             intervals = TRUE, n.sim = 100, prob.lev = 0.05, shade = FALSE, 
             bars = FALSE, ylim, ylab, xlab, pch, ls = 100, baseline = FALSE,
             min.dn = 1e-200, min.pr = 1e-200, max.pr = 1, plot.out = TRUE, ...)

`x`	A fitted `gamlss`/`gjrm` object.
`eq`	Equation number. This can be ignored for univariate models.
`newdata`	A data frame or list containing the values of the model covariates at which predictions are required. This must always be provided. For the individual survival/hazard/cumulative hazard function, the data frame must have one row containing the values of the model covariates corresponding to the individual of interest. For the (sub-)population survival/hazard/cumulative hazard function, the data frame must have as many rows as there are individuals in the (sub-)population of interest. Each row must contain the values of the model covariates of the corresponding individual.
`type`	The plot to produce, either `"surv"`, `"hazard"` or `"cumhaz"`. In the excess hazard setting these are, respectively, the net survival, the excess hazard and the cumulative excess hazard.
`t.range`	Time variable range to be considered for plotting. This must be a vector with only two elements: the minimum and maximum of the time range. If `NULL` then it is determined automatically based on the observed data.
`t.vec`	Vector of time values to be considered for plotting. This could also be a single time. Note you cannot provide both `t.range` and `t.vec` as they are two mutually exclusive ways of defining the time variable. If `NULL` then it is determined automatically based on the observed data.
`intervals`	If `TRUE` then intervals are also produced.
`n.sim`	Number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used for interval calculations.
`prob.lev`	Overall probability of the left and right tails of the probabilities' distributions used for interval calculations.
`shade`	If `TRUE` then it produces shaded regions as confidence bands.
`bars`	If `TRUE` then the confidence intervals are plotted as bars rather than continuous curves. If `t.vec` is used and only one time value is provided, this is the only possible plotting option for the confidence intervals. Note `shade` and `bars` are mutually exclusive.
`ylim, ylab, xlab, pch`	Usual plot arguments.
`ls`	Length of sequence to use for time variable.
`baseline`	If baseline is desired; this will set all covariate/smooth effects to zero.
`min.dn, min.pr, max.pr`	Allowed minimum and maximum for estimated probabities and densities for survival, hazard and cumulative hazard calculations.
`plot.out`	If `FALSE` then the function does not produce a plot.
`...`	Other arguments to pass to plot.