print.igp_fit: Methods for Inverse Gaussian Process Fit Objects

In IGPFrailty: Inverse Gaussian Process Degradation Models with Frailty

Methods for Inverse Gaussian Process Fit Objects

Description

Standard S3 methods for objects of class "igp_fit": print, summary, coef, vcov, logLik, AIC, BIC, confint, predict, and plot.

Usage

## S3 method for class 'igp_fit'
print(x, digits = 4, ...)

## S3 method for class 'igp_fit'
summary(object, conf_level = 0.95, ...)

## S3 method for class 'summary_igp_fit'
print(x, digits = 4, ...)

## S3 method for class 'igp_fit'
coef(object, ...)

## S3 method for class 'igp_fit'
vcov(object, ...)

## S3 method for class 'igp_fit'
logLik(object, ...)

## S3 method for class 'igp_fit'
AIC(object, ..., k = 2)

## S3 method for class 'igp_fit'
BIC(object, ...)

## S3 method for class 'igp_fit'
confint(object, parm, level = 0.95, ...)

## S3 method for class 'igp_fit'
predict(
  object,
  newdata = NULL,
  threshold = NULL,
  times = NULL,
  probs = c(0.01, 0.05, 0.1, 0.5, 0.8),
  type = c("lifetime", "frailty", "quantiles"),
  ...
)

## S3 method for class 'igp_fit'
plot(
  x,
  type = c("paths", "frailty", "lifetime", "diagnostics", "all"),
  threshold = NULL,
  ...
)

Arguments

x, object	An object of class "igp_fit".
digits	Integer indicating the number of decimal places to format. Default is 4.
...	Further arguments passed to or from other methods.
conf_level, level	Nominal confidence level (e.g. 0.95 for 95% confidence intervals). Default is 0.95.
k	Optional numeric penalty per parameter for AIC (default is 2).
parm	Optional vector of numbers or parameter names to compute confidence intervals for.
newdata	Optional new data frame for prediction.
threshold	Failure threshold \rho for lifetime and quantile calculations.
times	Numeric vector of inspection times for lifetime predictions.
probs	Numeric vector of quantile probabilities. Default is c(0.01, 0.05, 0.1, 0.5, 0.8).
type	For predict, one of "lifetime", "frailty", or "quantiles". For plot, one of "paths" (degradation paths), "frailty" (individual frailty barplot), "lifetime" (lifetime PDF and CDF curves), "diagnostics" (P-P and Q-Q plots), or "all".

Value

• print.igp_fit: Prints model summary and returns x invisibly.

• summary.igp_fit: Returns an object of class "summary_igp_fit".

• coef.igp_fit: Returns named vector of estimated parameters.

• vcov.igp_fit: Returns the variance-covariance matrix.

• logLik.igp_fit: Returns log-likelihood with degrees of freedom and observations.

• AIC.igp_fit, BIC.igp_fit: Return model selection criterion values.

• confint.igp_fit: Returns confidence interval matrix.

• predict.igp_fit: Returns predicted lifetime distribution, quantiles, or frailties.

• plot.igp_fit: Generates base graphics diagnostic and predictive plots.

See Also

igp_fit, individual_frailty, lifetime_dist

Examples

data(laser)
fit <- igp_fit(laser, time_col = "t", deg_col = "increase",
               unit_col = "unit", frailty = "gamma")
print(fit)
summary(fit)
coef(fit)
vcov(fit)
logLik(fit)
AIC(fit)
BIC(fit)
confint(fit)

IGPFrailty documentation built on Aug. 25, 2026, 9:08 a.m.