Consider a goodnessoffit(GOF) problem of testing whether a random sample comes from one sample locationscale model where location and scale parameters are unknown. It is well known that Khmaladze martingale transformation method provides asymptotic distribution free test for the GOF problem. This package contains one function: KhmaladzeTrans(). In this version, KhmaladzeTrans() provides test statistic and critical value of GOF test for normal, Cauchy, and logistic distributions.
Author  Jiwoong Kim [aut, cre] 
Date of publication  20160419 18:22:45 
Maintainer  Jiwoong Kim <jwboys26@gmail.com> 
License  GPL2 
Version  1.0 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:



All man pages Function index File listing
Man pages  

KhmaladzeTrans: Performs goodnessoffit test through Khmaladze matringale... 
Functions  

A12A22A21  Source code 
B11  Source code 
D1  Source code 
D2  Source code 
D3  Source code 
Fl  Source code 
Fn  Source code 
Fn1  Source code 
Gam333  Source code 
IntNormal  Source code 
ItgofIntCauchy  Source code 
ItgofIntLogistic  Source code 
ItgofIntNormal  Source code 
KhmIntValCauchy  Source code 
KhmIntValLogistic  Source code 
KhmaladzeTrans  Man page Source code 
MLECauchyObjFunction  Source code 
SupWCauchy  Source code 
SupWLogistic  Source code 
SupWNormal  Source code 
WCauchy  Source code 
WLogistic  Source code 
WNormal  Source code 
Weird  Source code 
ac  Source code 
bc  Source code 
c22  Source code 
cofx  Source code 
cx  Source code 
d22  Source code 
dc  Source code 
dx  Source code 
fl  Source code 
fn  Source code 
g1  Source code 
g2  Source code 
k1  Source code 
k2  Source code 
mleLogis  Source code 
Files  

NAMESPACE
 
R
 
R/KmtFunc.R  
MD5
 
DESCRIPTION
 
man
 
man/KhmaladzeTrans.Rd 
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
Please suggest features or report bugs in the GitHub issue tracker.
All documentation is copyright its authors; we didn't write any of that.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.