# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Library General Public
# License as published by the Free Software Foundation; either
# version 2 of the License, or (at your option) any later version.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General 
# Public License along with this library; if not, write to the 
# Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, 
# MA  02111-1307  USA

# Copyrights (C)
# for this R-port: 
#   1999 - 2006, Diethelm Wuertz, GPL
#   Diethelm Wuertz <wuertz@itp.phys.ethz.ch>
#   info@rmetrics.org
#   www.rmetrics.org
# for the code accessed (or partly included) from other R-ports:
#   see R's copyright and license files
# for the code accessed (or partly included) from contributed R-ports
# and other sources
#   see Rmetrics's copyright file 


################################################################################
# FUNCTION:             NORMALITY TESTS:
#  normalTest            Test suite for normality tests
#  ksnormTest            One sample Kolmogorov-Smirnov normality test
#  shapiroTest           Shapiro-Wilk normality test
#  jarqueberaTest        Jarque-Bera normality test
#  dagoTest              D'Agostino normality test
# FUNCTION:             FROM NORTEST PACKAGE:
#  adTest                Anderson-Darling normality test
#  cvmTest               Cramer-von Mises normality test
#  lillieTest            Lilliefors (Kolmogorov-Smirnov) normality test 
#  pchiTest              Pearson chi-square normality test 
#  sfTest                Shapiro-Francia normality test     
# FUNCTION:             MORE TESTS ...
#  runsTest              Runs test for detecting non-randomness [tseries]
#  gofnorm               Reports on several tests of normality
# FUNCTION ADDON:       DESCRIPTION:
#  jbTable               Table of finite sample p values for the JB test
#  pjb                   Computes probabilities for the Jarque Bera Test
#  qjb                   Computes quantiles for the Jarque Bera Test
#  jbTest                Performs finite sample adjusted JB LM and ALM test
################################################################################
 

test.normalTests = 
function()
{   
    if (FALSE) {
             
        require(akima)
        
        # Normal Data:
        RNGkind(kind = "Marsaglia-Multicarry", normal.kind = "Inversion")
        set.seed(4711, kind = "Marsaglia-Multicarry")
        X = rnorm(50)
        
        TEST = ksnormTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
          
        TEST = shapiroTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = jarqueberaTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
         
        TEST = jbTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = dagoTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = adTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = cvmTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = lillieTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = pchiTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = sfTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
    }
    
    # Return Value:
    return()
}  


# ------------------------------------------------------------------------------ 
    

test.normalTestsTS = 
function()
{      
    if (FALSE) {
             
        require(akima)
        
        # URL = "http://www.itp.phys.ethz.ch/econophysics/R/data/textbooks/"
        # SRC = "ZivotWang/data/msft.dat.csv"
        # DATA = paste(URL, SRC, sep = "") 
        # download.file(DATA, destfile = "msft.dat.csv")
        # msft.dat = readSeries("msft.dat.csv")
        # from Ecofin ...
        X = returnSeries(as.timeSeries(data(msft.dat)))[, 1]
        
        TEST = ksnormTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
          
        TEST = shapiroTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = jarqueberaTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
         
        TEST = jbTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = dagoTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = adTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = cvmTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = lillieTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = pchiTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
        TEST = sfTest(X)
        print(TEST)
        checkIdentical(as.character(class(TEST)), "fHTEST")
        
    }
    
    # Return Value:
    return()
}


################################################################################