add1_p: Add one possible covariate on GEV parameter using individual...
In pengyuwei94/evreg: Extreme value regression modelling

Description Usage Arguments Value Examples

Add a single term to either mu, sigma, and xi based on individual p value from Wald test.

add1_p_mu(fit, alpha = 0.05)

add1_p_sigma(fit, alpha = 0.05)

add1_p_xi(fit, alpha = 0.05)

`fit`	An object of class `c("gev", "evreg")` returned from `gevreg` summarising the current model fit.
`alpha`	Significance level. Default value is 0.05.

An object (a list) of class c("gev", "evreg") summarising the new model fit (which may be the same as fit) and containing the following additional components

`Input_fit`	The input object of the class `c("gev", "evreg")`.
`Note`	A message that tells if a covariate has been added or not.
`Output_fit`	A list that contains formulae for the parameter, and the output object of the class `c("gev", "evreg")` if the output fit is different from the input fit.
`added_covariate`	A character vector shows added covariate
`pvalue`	A data frame that contains p value with five decimal places of the added covariate if there is one.

### Fremantle sea levels

f0 <- gevreg(SeaLevel, data = evreg::fremantle)
add1_p_mu(f0)


### Annual Maximum and Minimum Temperature

P0 <- gevreg(y = TMX1, data = PORTw[, -1])
add1_p_mu(P0)