fit.srm.logit: Regression-based software reliability model with d-metrics

In okamumu/msrat: A Metrics-Based Software Reliability Assessment Tool

Regression-based software reliability model with d-metrics

Description

Estimate model parameters for d-metrics-based software reliability model.

Generate a list of option values.

Usage

fit.srm.logit(
  formula,
  data,
  linkfun = "logit",
  offset = NULL,
  control = list(),
  ...
)

srm.logit.options()

fit.srm.logit.penalized(
  formula,
  data,
  linkfun = "logit",
  offset = NULL,
  control = list(),
  lambda = 1,
  alpha = 1,
  ...
)

Arguments

formula	An object of class formula. A symbolic description of the model to be fitted. The output variable should be the column for the number of faults.
data	A dataframe for d-metrics and the number of faults.
linkfun	A character string indicating a linkfunction. See Details.
offset	An integer. This can be used to specify an a priori known component to be included in the linear predictor during fitting. This should be NULL or a numeric vector of length equal to the number of cases.
control	A list of control parameters. See Details.
...	Other parameters.
lambda	A numeric value for the penalized parameter.
alpha	A numeric value to select from L1 to L2 norm

Details

The control argument is a list that can supply any of the following components:

maxiter

An integer for the maximum number of iterations in the fitting algorithm.

reltol

A numeric value. The algorithm stops if the relative error is less than reltol and the absolute error is less than abstol.

abstol

A numeric value. The algorithm stops if the relative error is less than reltol and the absolute error is less than abstol.

trace

A logical. If TRUE, the intermediate parameters are printed.

printsteps

An integer for print.

The linkfun argument can take the following strings:

logit

A logit function.

probit

A probit function.

cloglog

A complementary log-log function.

Value

A list with components;

initial	A vector for initial parameters.
srm	A class of NHPP. The SRM with the estiamted parameters.
llf	A numeric value for the maximum log-likelihood function.
df	An integer for degrees of freedom.
convergence	A boolean meaning the alorigthm is converged or not.
iter	An integer for the number of iterations.
aerror	A numeric value for absolute error.
rerror	A numeric value for relative error.
data	The data used.
linkfun	The linkfunction used.
formula	The formula supplied.
ctime	A numeric value for computation time.
terms	The terms object used.
call	The method call.

A list of options.

Examples

data(dmet)
fit.srm.logit(formula=fault~., data=dmet.ds1)

okamumu/msrat documentation built on Jan. 17, 2024, 11:55 a.m.