/dports/math/R-cran-robustbase/robustbase/man/ |
H A D | anova.lmrob.Rd | 9 \method{anova}{lmrob}(object, \dots, test = c("Wald", "Deviance"), 19 Can be one of \code{"Wald"} or \code{"Deviance"}, 21 test or \code{"Deviance"}-type test.} 41 The "Wald"-type test (\code{test = "Wald"}) and the Deviance-type test 42 (\code{test = "Deviance"}). When using formula description of the 43 nested models in the dot arguments and \code{test = "Deviance"}, you 70 anova(m0.sali, m1.sali, test = "Deviance") 74 anova(m0.sali, m2, test = "Deviance") 77 anova(m0.sali, update(m0.sali, . ~ 1), test = "Deviance") 87 try( anova(Jet.rflm1, y ~ x1 + x5 + x6, test="Deviance") ) [all …]
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/dports/math/R-cran-memisc/memisc/R/ |
H A D | aaa.R | 84 Deviance = "($deviance:f#)", nameattr 101 Deviance = "($deviance:f#)", nameattr 117 Deviance = "($deviance:f#)", nameattr 128 Deviance = "($deviance:f#)", nameattr
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/dports/math/R-cran-memisc/memisc/man/ |
H A D | mtable.Rd | 204 mtable(berk0,summary.stats=c("Deviance","N")) 205 mtable(berk1,summary.stats=c("Deviance","N")) 211 summary.stats=c("Deviance","AIC","N")) 214 summary.stats=c("Deviance","AIC","N")) 217 summary.stats=c("Deviance","AIC","N")) 220 summary.stats=c("Deviance","AIC","N")) 223 summary.stats=c("Deviance","AIC","N")) 226 summary.stats=c("Deviance","AIC","N")) 229 summary.stats=c("Deviance","AIC","N")) 232 summary.stats=c("Deviance","AIC","N")) [all …]
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H A D | withVCov.Rd | 76 summary.stats=c("Deviance","N") 83 summary.stats=c("Deviance","N")
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/dports/math/R-cran-survey/survey/tests/testoutput/ |
H A D | scoping.Rout.save | 58 Null Deviance: 1838 59 Residual Deviance: 1835 AIC: 719.8 73 Null Deviance: 1838 74 Residual Deviance: 1835 AIC: 719.8
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/dports/math/R-cran-gss/gss/man/ |
H A D | summary.gssanova.Rd | 29 \item{dev.resid}{Deviance residuals.} 30 \item{deviance}{Deviance of the fit.} 31 \item{dev.null}{Deviance of the null model.}
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H A D | summary.gssanova0.Rd | 29 \item{dev.resid}{Deviance residuals.} 30 \item{deviance}{Deviance of the fit.} 31 \item{dev.null}{Deviance of the null model.}
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/dports/math/R-cran-gss/gss/ |
H A D | INDEX | 128 dev.resid.binomial Deviance residuals for logistic regression 137 dev.resid.poisson Deviance residuals for Poisson regression 146 dev.resid.Gamma Deviance residuals for Gamma regression 155 dev.resid.inverse.gaussian Deviance residuals for IG regression 164 dev.resid.nbinomial Deviance residuals for negative binomial regression 173 dev.resid.polr Deviance residuals for proportional odds regression 182 dev.resid.weibull Deviance residuals for Weibull regression 191 dev.resid.lognorm Deviance residuals for log normal regression 201 dev.resid.loglogis Deviance residuals for log logistic regression
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/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | print.vlm.q | 36 cat("Deviance:", format(deviance(object)), "\n") 81 cat("Deviance:", format(deviance(x)), "\n")
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/dports/devel/R-cran-gbm/gbm/src/ |
H A D | gbm_engine.cpp | 462 dTrainError = pDist->Deviance(pData->adY, in iterate() 481 pDist->Deviance(pData->adY, in iterate() 491 dValidError = pDist->Deviance(pData->adY, in iterate()
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H A D | gaussian.h | 71 double Deviance(double *adY,
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H A D | adaboost.h | 71 double Deviance(double *adY,
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H A D | laplace.h | 73 double Deviance(double *adY,
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H A D | tdist.h | 69 double Deviance(double *adY,
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H A D | bernoulli.h | 50 double Deviance(double *adY,
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H A D | huberized.h | 50 double Deviance(double *adY,
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H A D | multinomial.h | 65 double Deviance(double *adY,
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H A D | quantile.h | 72 double Deviance(double *adY,
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H A D | poisson.h | 49 double Deviance(double *adY,
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/dports/math/R-cran-MCMCpack/MCMCpack/src/ |
H A D | cMCMChregress.cc | 87 double *Deviance, in cMCMChregress() argument 197 double Deviance_run=Deviance[0]; in cMCMChregress() 321 Deviance[isamp-1]=Deviance_run; in cMCMChregress()
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/dports/math/R-cran-MCMCpack/MCMCpack/R/ |
H A D | MCMChlogit.R | 386 Deviance <- rep(0,nsamp) functionVar 410 Deviance.nonconst=as.double(Deviance),
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H A D | MCMChregress.R | 349 Deviance <- rep(0,nsamp) functionVar 373 Deviance.nonconst=as.double(Deviance),
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H A D | MCMChpoisson.R | 374 Deviance <- rep(0,nsamp) functionVar 398 Deviance.nonconst=as.double(Deviance),
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/dports/devel/R-cran-broom/broom/man/ |
H A D | glance.glmRob.Rd | 65 \item{deviance}{Deviance of the model.} 68 \item{null.deviance}{Deviance of the null model.}
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H A D | glance.speedglm.Rd | 75 \item{deviance}{Deviance of the model.} 80 \item{null.deviance}{Deviance of the null model.}
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