summary.addt.fit: Summary of an "addt.fit" object.

In ADDT: Analysis of Accelerated Destructive Degradation Test Data

Description

Provides a brief summary of an addt.fit object.

Usage

## S3 method for class 'addt.fit'
summary(object, ...)

Arguments

object	An addt.fit object.
...	Optional arguments.

Value

Returns a list whose items vary depending on which procedure was used in addt.fit. If proc="ML", then the output has the following items:

coef.mle.mat	A matrix giving the estimated coefficients, their standard errors, and the lower and upper bounds of a 95% confidence interval.
ti.CI	The estimated thermal index of the material, its standard error, and 95% confidence interval.
logLik	The maximum log-likelihood value achieved.

If proc="LS", the output has the following items:

coefs	A vector giving the estimated coefficients for the time-temperature line.
TI	The estimated thermal index of the material.
interp.time	A matrix contains the interpolated time at the failure.threshold specified for each temperature level.

If proc="SemiPara", the output has the following items:

betahat	An estimate of our model coefficient under the users chosen setups.
knots	Knots used in the B-spline, these are the optimal knots if best.knots=TRUE.
Loglik	The maximum log-likelihood value achieved.
aic	aic value for the final model.
aicc	aicc value for the final model.

If proc="All", the output will give the preceeding values for all the LS.obj, ML.obj and SemiPara.obj.

See Also

addt.fit

ADDT documentation built on May 2, 2019, 6:38 a.m.