ProbYX: Inference for the Stress-Strength Model R = P(Y<X)
Version 1.1-0

Confidence intervals and point estimation for R under various parametric model assumptions; likelihood inference based on classical first-order approximations and higher-order asymptotic procedures.

Browse man pages Browse package API and functions Browse package files

AuthorGiuliana Cortese
Date of publication2015-12-21 11:33:28
MaintainerGiuliana Cortese <gcortese@stat.unipd.it>
LicenseGPL-2
Version1.1-0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("ProbYX")

Man pages

loglik: Log-likelihood of the bivariate distribution of (Y,X)
MLEs: Maximum likelihood estimates of the stress-strength model R =...
Prob: Estimation of the stress-strength model R = P(Y<X)
ProbYX-package: Inference on the stress-strength model R = P(Y<X)
ROC.plot: Estimated ROC curves
rp: Signed log-likelihood ratio statistic
rpstar: Modified signed log-likelihood ratio statistic
wald: Wald statistic

Functions

MLE_exp Source code
MLE_normDV Source code
MLE_normEV Source code
MLEs Man page Source code
Prob Man page Source code
ProbYX Man page
ProbYX-package Man page
ROC.plot Man page Source code
lderiv_exp Source code
lderiv_nDV Source code
lderiv_nEV Source code
loglik Man page Source code
loglik2 Source code
nuisance Source code
rp Man page Source code
rp2 Source code
rpstar Man page Source code
wald Man page Source code

Files

NAMESPACE
R
R/ProbYX.R
MD5
DESCRIPTION
man
man/rpstar.Rd
man/rp.Rd
man/ProbYX-package.Rd
man/ROC.plot.Rd
man/loglik.Rd
man/wald.Rd
man/MLEs.Rd
man/Prob.Rd
ProbYX documentation built on May 20, 2017, 5:45 a.m.