{ "_id": "6a10360dacfb0bcc41c99eec", "Package": "PoweR", "Version": "1.1.4", "Date": "2025-07-14", "Title": "Computation of Power and Level Tables for Hypothesis Tests", "Author": "Pierre Lafaye De Micheaux [aut, cre], Viet Anh Tran [aut],\nAlain Desgagne [aut], Frederic Ouimet [aut], Steven G. Johnson\n[aut]", "Authors@R": "c(person(\"Pierre\", \"Lafaye De Micheaux\", role = c(\"aut\", \"cre\"),\nemail = \"lafaye@unsw.edu.au\"),\nperson(\"Viet Anh\", \"Tran\", role = c(\"aut\"),\nemail = \"vietanhtran184@yahoo.com\"),\nperson(\"Alain\", \"Desgagne\", role = c(\"aut\"),\nemail = \"desgagne.alain@uqam.ca\"),\nperson(\"Frederic\", \"Ouimet\", role = c(\"aut\"),\nemail = \"ouimetfr@dms.umontreal.ca\"),\nperson(c(\"Steven\", \"G.\"), \"Johnson\", role = c(\"aut\"))\n)", "Maintainer": "Pierre Lafaye De Micheaux ", "Description": "Computes power and level tables for goodness-of-fit tests\nfor the normal, Laplace, and uniform distributions. Generates\noutput in 'LaTeX' format to facilitate reporting and\nreproducibility. Explanatory graphs help visualize the\nstatistical power of test statistics under various\nalternatives. For more details, see Lafaye De Micheaux and Tran\n(2016) .", "License": "GPL (>= 2)", "Packaged": { "Date": "2026-05-12 06:55:52 UTC", "User": "root" }, "NeedsCompilation": "yes", "Repository": "https://lafaye.r-universe.dev", "Date/Publication": "2025-07-22 10:20:13 UTC", "RemoteUrl": "https://github.com/cran/PoweR", "RemoteRef": "HEAD", "RemoteSha": "c33255e305f19de8ce28dab858f0edefded632d3", "MD5sum": "af22f94a86649bf30372e04d16250d0e", "_user": "lafaye", "_type": "src", "_file": "PoweR_1.1.4.tar.gz", "_fileid": "5cc21d5859c9d66e616cf6ecc1361cdc6f99da40b76396286a4df2cd20e70c5f", "_filesize": 950215, "_sha256": "5cc21d5859c9d66e616cf6ecc1361cdc6f99da40b76396286a4df2cd20e70c5f", "_created": "2026-05-12T06:55:52.000Z", "_published": "2026-05-22T10:55:09.748Z", "_distro": "noble", "_jobs": [ { "job": 77365628855, "time": 161, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "6937649378" }, { "job": 77365628689, "time": 130, "config": "linux-devel-x86_64", "r": 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test statistic.", "topics": [ "compquant" ] }, { "page": "create.alter", "title": "Create a list giving the type of test statistics.", "topics": [ "create.alter" ] }, { "page": "densities", "title": "Density function", "topics": [ "dlaw1", "dlaw10", "dlaw11", "dlaw12", "dlaw13", "dlaw14", "dlaw15", "dlaw16", "dlaw17", "dlaw18", "dlaw19", "dlaw2", "dlaw20", "dlaw21", "dlaw22", "dlaw23", "dlaw24", "dlaw25", "dlaw26", "dlaw27", "dlaw28", "dlaw29", "dlaw3", "dlaw30", "dlaw31", "dlaw32", "dlaw33", "dlaw34", "dlaw35", "dlaw36", "dlaw37", "dlaw38", "dlaw39", "dlaw4", "dlaw40", "dlaw41", "dlaw42", "dlaw5", "dlaw6", "dlaw7", "dlaw8", "dlaw9", "indicator" ] }, { "page": "Distributions", "title": "Distributions in the PoweR package", "topics": [ "Distributions" ] }, { "page": "gensample", "title": "Generate random samples from a law added in the package.", "topics": [ "gensample", "rlaw" ] }, { "page": "getindex", "title": "Get indices of laws and statistics functions.", "topics": [ "getindex", "print.index" ] }, { "page": "getnbparlaws", "title": "Retrieve the default number of parameters of some laws.", "topics": [ "getnbparlaws" ] }, { "page": "getnbparstats", "title": "Get numbers of parameters of test statistics.", "topics": [ "getnbparstats" ] }, { "page": "graph", "title": "p-value plot, p-value discrepancy plot and size-power curves.", "topics": [ "graph" ] }, { "page": "help.law", "title": "Help Law", "topics": [ "help.law" ] }, { "page": "help.stat", "title": "Help Stat", "topics": [ "help.stat" ] }, { "page": "Laplace.tests", "title": "Goodness-of-fit tests for the Laplace distribution", "topics": [ "Laplace.tests" ] }, { "page": "law.cstr", "title": "Gives information about a given law.", "topics": [ "law.cstr" ] }, { "page": "law0001.Laplace", "title": "The Laplace Distribution", "topics": [ "law0001", "law0001.Laplace" ] }, { "page": "law0002.Normal", "title": "The Normal Distribution", "topics": [ "law0002", "law0002.Normal" ] }, { "page": "law0003.Cauchy", "title": "The Cauchy Distribution", "topics": [ "law0003", "law0003.Cauchy" ] }, { "page": "law0004.Logistic", "title": "The Logistic Distribution", "topics": [ "law0004", "law0004.Logistic" ] }, { "page": "law0005.Gamma", "title": "The Gamma Distribution", "topics": [ "law0005", "law0005.Gamma" ] }, { "page": "law0006.Beta", "title": "The Beta Distribution", "topics": [ "law0006", "law0006.Beta" ] }, { "page": "law0007.Uniform", "title": "The Uniform Distribution", "topics": [ "law0007", "law0007.Uniform" ] }, { "page": "law0008.Student", "title": "The Student t Distribution", "topics": [ "law0008", "law0008.Student" ] }, { "page": "law0009.Chisquared", "title": "The Chi-Squared Distribution", "topics": [ "law0009", "law0009.Chisquared" ] }, { "page": "law0010.LogNormal", "title": "The Log Normal Distribution", "topics": [ "law0010", "law0010.LogNormal" ] }, { "page": "law0011.Weibull", "title": "The Weibull Distribution", "topics": [ "law0011", "law0011.Weibull" ] }, { "page": "law0012.ShiftedExp", "title": "The Shifted Exponential Distribution", "topics": [ "law0012", "law0012.ShiftedExp" ] }, { "page": "law0013.PowerUnif", "title": "The Power Uniform Distribution", "topics": [ "law0013", "law0013.PowerUnif" ] }, { "page": "law0014.AverageUnif", "title": "The Average Uniform Distribution", "topics": [ "law0014", "law0014.AverageUnif" ] }, { "page": "law0015.UUnif", "title": "The UUniform Distribution", "topics": [ "law0015", "law0015.UUnif" ] }, { "page": "law0016.VUnif", "title": "The VUniform Distribution", "topics": [ "law0016", "law0016.VUnif" ] }, { "page": "law0017.JohnsonSU", "title": "The Johnson SU Distribution", "topics": [ "law0017", "law0017.JohnsonSU" ] }, { "page": "law0018.Tukey", "title": "The Tukey Distribution", "topics": [ "law0018", "law0018.Tukey" ] }, { "page": "law0019.LocationCont", "title": "The Location Contaminated Distribution", "topics": [ "law0019", "law0019.LocationCont" ] }, { "page": "law0020.JohnsonSB", "title": "The Johnson SB Distribution", "topics": [ "law0020", "law0020.JohnsonSB" ] }, { "page": "law0021.SkewNormal", "title": "The Skew Normal Distribution", "topics": [ "law0021", "law0021.SkewNormal" ] }, { "page": "law0022.ScaleCont", "title": "The Scale Contaminated Distribution", "topics": [ "law0022", "law0022.ScaleCont" ] }, { "page": "law0023.GeneralizedPareto", "title": "The Generalized Pareto Distribution", "topics": [ "law0023", "law0023.GeneralizedPareto" ] }, { "page": "law0024.GeneralizedError", "title": "The Generalized Error Distribution", "topics": [ "law0024", "law0024.GeneralizedError" ] }, { "page": "law0025.Stable", "title": "The Stable Distribution", "topics": [ "law0025", "law0025.Stable" ] }, { "page": "law0026.Gumbel", "title": "The Gumbel Distribution", "topics": [ "law0026", "law0026.Gumbel" ] }, { "page": "law0027.Frechet", "title": "The Frechet Distribution", "topics": [ "law0027", "law0027.Frechet" ] }, { "page": "law0028.GeneralizedExtValue", "title": "The Generalized Extreme Value Distribution", "topics": [ "law0028", "law0028.GeneralizedExtValue" ] }, { "page": "law0029.GeneralizedArcsine", "title": "The Generalized Arcsine Distribution", "topics": [ "law0029", "law0029.GeneralizedArcsine" ] }, { "page": "law0030.FoldedNormal", "title": "The Folded Normal Distribution", "topics": [ "law0030", "law0030.FoldedNormal" ] }, { "page": "law0031.MixtureNormal", "title": "The Mixture Normal Distribution", "topics": [ "law0031", "law0031.MixtureNormal" ] }, { "page": "law0032.TruncatedNormal", "title": "The Truncated Normal Distribution", "topics": [ "law0032", "law0032.TruncatedNormal" ] }, { "page": "law0033.Nout", "title": "The Normal with outliers Distribution", "topics": [ "law0033", "law0033.Nout" ] }, { "page": "law0034.GeneralizedExpPower", "title": "The Generalized Exponential Power Distribution", "topics": [ "law0034", "law0034.GeneralizedExpPower" ] }, { "page": "law0035.Exponential", "title": "The Exponential Distribution", "topics": [ "law0035", "law0035.Exponential" ] }, { "page": "law0036.AsymmetricLaplace", "title": "The Asymmetric Laplace Distribution", "topics": [ "law0036", "law0036.AsymmetricLaplace" ] }, { "page": "law0037.NormalInvGaussian", "title": "The Normal-inverse Gaussian Distribution", "topics": [ "law0037", "law0037.NormalInvGaussian" ] }, { "page": "law0038.AsymmetricPowerDistribution", "title": "The Asymmetric Power Distribution", "topics": [ "law0038", "law0038.AsymmetricPowerDistribution" ] }, { "page": "law0039.modifiedAsymmetricPowerDistribution", "title": "The modified Asymmetric Power Distribution", "topics": [ "law0039", "law0039.modifiedAsymmetricPowerDistribution" ] }, { "page": "law0040.Log-Pareto-tail-normal", "title": "The Log-Pareto-tail-normal Distribution", "topics": [ "law0040", "law0040.Log-Pareto-tail-normal" ] }, { "page": "many.crit", "title": "Computation of critical values for several test statistics", "topics": [ "many.crit", "many.critR" ] }, { "page": "many.pval", "title": "Computes several p-values for many test statistics.", "topics": [ "many.pval" ] }, { "page": "moments", "title": "Expectation and variance.", "topics": [ "moments1", "moments10", "moments11", "moments12", "moments13", "moments14", "moments15", "moments16", "moments17", "moments18", "moments19", "moments2", "moments20", "moments21", "moments22", "moments23", "moments24", "moments25", "moments26", "moments27", "moments28", "moments29", "moments3", "moments30", "moments31", "moments32", "moments33", "moments34", "moments35", "moments36", "moments37", "moments38", "moments39", "moments4", "moments40", "moments41", "moments42", "moments5", "moments6", "moments7", "moments8", "moments9" ] }, { "page": "Normality.tests", "title": "Goodness-of-fit tests for normality.", "topics": [ "Normality.tests" ] }, { "page": "plot.discrepancy", "title": "p-value discrepancy plot.", "topics": [ "plot.discrepancy" ] }, { "page": "plot.pvalue", "title": "p-value plot.", "topics": [ "plot.pvalue" ] }, { "page": "plot.sizepower", "title": "size-power curves.", "topics": [ "plot.sizepower" ] }, { "page": "powcomp-easy", "title": "Computation of power and level tables for hypothesis tests.", "topics": [ "powcomp.easy" ] }, { "page": "powcomp-fast", "title": "Computation of power and level tables for hypothesis tests.", "topics": [ "powcomp.fast", "powcomp.fastR" ] }, { "page": "power.gui", "title": "PoweR GUI", "topics": [ "power.gui" ] }, { "page": "print.critvalues", "title": "Latex table for critical values", "topics": [ "print.critvalues", "print.critvalues1" ] }, { "page": "print.power", "title": "Latex table for power simulations", "topics": [ "print.power", "print.power1" ] }, { "page": "pvalueMC", "title": "Monte-Carlo computation of a p-value for one single test statistic.", "topics": [ "pvalueMC" ] }, { "page": "stat.cstr", "title": "Gives information about a test statistic.", "topics": [ "stat.cstr" ] }, { "page": "stat0001.Lilliefors", "title": "The Lilliefors test for normality", "topics": [ "stat0001", "stat0001.Lilliefors" ] }, { "page": "stat0002.AndersonDarling", "title": "The Anderson-Darling test for normality", "topics": [ "stat0002", "stat0002.AndersonDarling" ] }, { "page": "stat0003.ZhangWu1", "title": "The 1st Zhang-Wu test for normality", "topics": [ "stat0003", "stat0003.ZhangWu1" ] }, { "page": "stat0004.ZhangWu2", "title": "The 2nd Zhang-Wu test for normality", "topics": [ "stat0004", "stat0004.ZhangWu2" ] }, { "page": "stat0005.GlenLeemisBarr", "title": "The Glen-Leemis-Barr test for normality", "topics": [ "stat0005", "stat0005.GlenLeemisBarr" ] }, { "page": "stat0006.DAgostinoPearson", "title": "The D'Agostino-Pearson test for normality", "topics": [ "stat0006", "stat0006.DAgostinoPearson" ] }, { "page": "stat0007.JarqueBera", "title": "The Jarque-Bera test for normality", "topics": [ "stat0007", "stat0007.JarqueBera" ] }, { "page": "stat0008.DoornikHansen", "title": "The Doornik-Hansen test for normality", "topics": [ "stat0008", "stat0008.DoornikHansen" ] }, { "page": "stat0009.GelGastwirth", "title": "The Gel-Gastwirth test for normality", "topics": [ "stat0009", "stat0009.GelGastwirth" ] }, { "page": "stat0010.Hosking1", "title": "The 1st Hosking test for normality", "topics": [ "stat0010", "stat0010.Hosking1" ] }, { "page": "stat0011.Hosking2", "title": "The 2nd Hosking test for normality", "topics": [ "stat0011", "stat0011.Hosking2" ] }, { "page": "stat0012.Hosking3", "title": "The 3rd Hosking test for normality", "topics": [ "stat0012", "stat0012.Hosking3" ] }, { "page": "stat0013.Hosking4", "title": "The 4th Hosking test for normality", "topics": [ "stat0013", "stat0013.Hosking4" ] }, { "page": "stat0014.BontempsMeddahi1", "title": "The 1st Bontemps-Meddahi test for normality", "topics": [ "stat0014", "stat0014.BontempsMeddahi1" ] }, { "page": "stat0015.BontempsMeddahi2", "title": "The 2nd Bontemps-Meddahi test for normality", "topics": [ "stat0015", "stat0015.BontempsMeddahi2" ] }, { "page": "stat0016.BrysHubertStruyf", "title": "The Brys-Hubert-Struyf test for normality", "topics": [ "stat0016", "stat0016.BrysHubertStruyf" ] }, { "page": "stat0017.BonettSeier", "title": "The Bonett-Seier test for normality", "topics": [ "stat0017", "stat0017.BonettSeier" ] }, { "page": "stat0018.BrysHubertStruyf-BonettSeier", "title": "The Brys-Hubert-Struyf & Bonett-Seier test for normality", "topics": [ "stat0018", "stat0018.BrysHubertStruyf-BonettSeier" ] }, { "page": "stat0019.CabanaCabana1", "title": "The 1st Cabana-Cabana test for normality", "topics": [ "stat0019", "stat0019.CabanaCabana1" ] }, { "page": "stat0020.CabanaCabana2", "title": "The 2nd Cabana-Cabana test for normality", "topics": [ "stat0020", "stat0020.CabanaCabana2" ] }, { "page": "stat0021.ShapiroWilk", "title": "The Shapiro-Wilk test for normality", "topics": [ "stat0021", "stat0021.ShapiroWilk" ] }, { "page": "stat0022.ShapiroFrancia", "title": "The Shapiro-Francia test for normality", "topics": [ "stat0022", "stat0022.ShapiroFrancia" ] }, { "page": "stat0023.ShapiroWilk-RG", "title": "The Shapiro-Wilk test for normality modified by Rahman-Govindarajulu", "topics": [ "stat0023", "stat0023.ShapiroWilk-RG" ] }, { "page": "stat0024.DAgostino", "title": "The D'Agostino test for normality", "topics": [ "stat0024", "stat0024.DAgostino" ] }, { "page": "stat0025.Filliben", "title": "The Filliben test for normality", "topics": [ "stat0025", "stat0025.Filliben" ] }, { "page": "stat0026.ChenShapiro", "title": "The Chen-Shapiro test for normality", "topics": [ "stat0026", "stat0026.ChenShapiro" ] }, { "page": "stat0027.ZhangQ", "title": "The 1st Zhang test for normality", "topics": [ "stat0027", "stat0027.ZhangQ" ] }, { "page": "stat0028.ZhangQQstar", "title": "The 3rd Zhang test for normality", "topics": [ "stat0028", "stat0028.ZhangQQstar" ] }, { "page": "stat0029.BarrioCuestaMatranRodriguez", "title": "The Barrio-Cuesta-Matran-Rodriguez test for normality", "topics": [ "stat0029", "stat0029.BarrioCuestaMatranRodriguez" ] }, { "page": "stat0030.Coin", "title": "The Coin test for normality", "topics": [ "stat0030", "stat0030.Coin" ] }, { "page": "stat0031.EppsPulley", "title": "The Epps-Pulley test for normality", "topics": [ "stat0031", "stat0031.EppsPulley" ] }, { "page": "stat0032.MartinezIglewicz", "title": "The Martinez-Iglewicz test for normality", "topics": [ "stat0032", "stat0032.MartinezIglewicz" ] }, { "page": "stat0033.GelMiaoGastwirth", "title": "The Gel-Miao-Gastwirth test for normality", "topics": [ "stat0033", "stat0033.GelMiaoGastwirth" ] }, { "page": "stat0034.ZhangQstar", "title": "The 2nd Zhang test for normality", "topics": [ "stat0034", "stat0034.ZhangQstar" ] }, { "page": "stat0035.DesgagneLafayeDeMicheauxLeblanc-Rn", "title": "The R_n test for normality", "topics": [ "stat0035", "stat0035.DesgagneLafayeDeMicheauxLeblanc-Rn" ] }, { "page": "stat0036.DesgagneLafayeDeMicheaux-XAPD", "title": "The X_{APD} test for normality", "topics": [ "stat0036", "stat0036.DesgagneLafayeDeMicheaux-XAPD" ] }, { "page": "stat0037.DesgagneLafayeDeMicheaux-ZEPD", "title": "The Z_{EPD} test for normality", "topics": [ "stat0037", "stat0037.DesgagneLafayeDeMicheaux-ZEPD" ] }, { "page": "stat0038.Glen", "title": "The Glen-Leemis-Barr test for the Laplace distribution", "topics": [ "stat0038", "stat0038.Glen" ] }, { "page": "stat0039.Rayner1", "title": "The Rayner-Best statistic for the Laplace distribution", "topics": [ "stat0039", "stat0039.Rayner1" ] }, { "page": "stat0040.Rayner2", "title": "The Rayner-Best statistic for the Laplace distribution", "topics": [ "stat0040", "stat0040.Rayner2" ] }, { "page": "stat0041.Spiegelhalter", "title": "The Spiegelhalter test for normality", "topics": [ "stat0041", "stat0041.Spiegelhalter" ] }, { "page": "stat0042.AndersonDarling", "title": "The Anderson-Darling test for the Laplace distribution", "topics": [ "stat0042", "stat0042.AndersonDarling" ] }, { "page": "stat0043.CramervonMises", "title": "The Cramer-von Mises test for the Laplace distribution", "topics": [ "stat0043", "stat0043.CramervonMises" ] }, { "page": "stat0044.Watson", "title": "The Watson test for the Laplace distribution", "topics": [ "stat0044", "stat0044.Watson" ] }, { "page": "stat0045.KolmogorovSmirnov", "title": "The Kolmogorov-Smirnov test for the Laplace distribution", "topics": [ "stat0045", "stat0045.KolmogorovSmirnov" ] }, { "page": "stat0046.Kuiper", "title": "The Kuiper test for the Laplace distribution", "topics": [ "stat0046", "stat0046.Kuiper" ] }, { "page": "stat0047.Meintanis1MO", "title": "The 1st Meintanis test with moment estimators for the Laplace distribution", "topics": [ "stat0047", "stat0047.Meintanis1MO" ] }, { "page": "stat0048.Meintanis1ML", "title": "The 1st Meintanis test with maximum likelihood estimators for the Laplace distribution", "topics": [ "stat0048", "stat0048.Meintanis1ML" ] }, { "page": "stat0049.Meintanis2MO", "title": "The 2nd Meintanis test with moment estimators for the Laplace distribution", "topics": [ "stat0049", "stat0049.Meintanis2MO" ] }, { "page": "stat0050.Meintanis2ML", "title": "The 2nd Meintanis test with maximum likelihood estimators for the Laplace distribution", "topics": [ "stat0050", "stat0050.Meintanis2ML" ] }, { "page": "stat0051.ChoiKim1", "title": "The 1st Choi-Kim test for the Laplace distribution", "topics": [ "stat0051", "stat0051.ChoiKim1" ] }, { "page": "stat0052.ChoiKim2", "title": "The 2nd Choi-Kim test for the Laplace distribution", "topics": [ "stat0052", "stat0052.ChoiKim2" ] }, { "page": "stat0053.ChoiKim3", "title": "The 3rd Choi-Kim test for the Laplace distribution", "topics": [ "stat0053", "stat0053.ChoiKim3" ] }, { "page": "stat0054.DesgagneMicheauxLeblanc-Gn", "title": "The Desgagne-Micheaux-Leblanc test for the Laplace distribution", "topics": [ "stat0054", "stat0054.DesgagneMicheauxLeblanc-Gn" ] }, { "page": "stat0055.RaynerBest1", "title": "The 1st Rayner-Best test for the Laplace distribution", "topics": [ "stat0055", "stat0055.RaynerBest1" ] }, { "page": "stat0056.RaynerBest2", "title": "The 2nd Rayner-Best test for the Laplace distribution", "topics": [ "stat0056", "stat0056.RaynerBest2" ] }, { "page": "stat0057.LangholzKronmal", "title": "The Langholz-Kronmal test for the Laplace distribution", "topics": [ "stat0057", "stat0057.LangholzKronmal" ] }, { "page": "stat0058.Kundu", "title": "The Kundu test for the Laplace distribution", "topics": [ "stat0058", "stat0058.Kundu" ] }, { "page": "stat0059.Gulati", "title": "The Gulati test for the Laplace distribution", "topics": [ "stat0059", "stat0059.Gulati" ] }, { "page": "stat0060.Gel", "title": "The Gel test for the Laplace distribution", "topics": [ "stat0060", "stat0060.Gel" ] }, { "page": "stat0061.DesgagneMicheauxLeblanc-Lap1", "title": "The Desgagne-Micheaux-Leblanc test for the Laplace distribution", "topics": [ "stat0061", "stat0061.DesgagneMicheauxLeblanc-Lap1" ] }, { "page": "stat0062.DesgagneMicheauxLeblanc-Lap2", "title": "The Desgagne-Micheaux-Leblanc test for the Laplace distribution", "topics": [ "stat0062", "stat0062.DesgagneMicheauxLeblanc-Lap2" ] }, { "page": "stat0063.Kolmogorov", "title": "The Kolmogorov test for uniformity", "topics": [ "stat0063", "stat0063.Kolmogorov" ] }, { "page": "stat0064.CramervonMises", "title": "The Cramer-von Mises test for uniformity", "topics": [ "stat0064", "stat0064.CramervonMises" ] }, { "page": "stat0065.AndersonDarling", "title": "The Anderson-Darling test for uniformity", "topics": [ "stat0065", "stat0065.AndersonDarling" ] }, { "page": "stat0066.Durbin", "title": "The Durbin test for uniformity", "topics": [ "stat0066", "stat0066.Durbin" ] }, { "page": "stat0067.Kuiper", "title": "The Kuiper test for uniformity", "topics": [ "stat0067", "stat0067.Kuiper" ] }, { "page": "stat0068.HegazyGreen1", "title": "The 1st Hegazy-Green test for uniformity", "topics": [ "stat0068", "stat0068.HegazyGreen1" ] }, { "page": "stat0069.HegazyGreen2", "title": "The 2nd Hegazy-Green test for uniformity", "topics": [ "stat0069", "stat0069.HegazyGreen2" ] }, { "page": "stat0070.Greenwood", "title": "The Greenwood test for uniformity", "topics": [ "stat0070", "stat0070.Greenwood" ] }, { "page": "stat0071.QuesenberryMiller", "title": "The Quesenberry-Miller test for uniformity", "topics": [ "stat0071", "stat0071.QuesenberryMiller" ] }, { "page": "stat0072.ReadCressie", "title": "The Read-Cressie test for uniformity", "topics": [ "stat0072", "stat0072.ReadCressie" ] }, { "page": "stat0073.Moran", "title": "The Moran test for uniformity", "topics": [ "stat0073", "stat0073.Moran" ] }, { "page": "stat0074.Cressie1", "title": "The 1st Cressie test for uniformity", "topics": [ "stat0074", "stat0074.Cressie1" ] }, { "page": "stat0075.Cressie2", "title": "The 2nd Cressie test for uniformity", "topics": [ "stat0075", "stat0075.Cressie2" ] }, { "page": "stat0076.Vasicek", "title": "The Vasicek test for uniformity", "topics": [ "stat0076", "stat0076.Vasicek" ] }, { 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