| /dports/math/R-cran-VGAM/VGAM/R/ |
| H A D | deviance.vlm.q | 53 setGeneric("deviance", function(object, ...) generic
57 setMethod("deviance", "vlm", function(object, ...) method
62 setMethod("deviance", "vglm", function(object, ...) method
90 setMethod("deviance", "qrrvglm", function(object, ...) method
93 setMethod("deviance", "rrvgam", function(object, ...) method
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| H A D | residuals.vlm.q | 21 type = c("response", "deviance", "pearson", "working")) {
86 type = c("working", "pearson", "response", "deviance", "ldot",
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| H A D | step4.vglm.R | 110 models[[nm]] <- list(deviance = mydeviance(fit), nameattr
183 models[[nm]] <- list(deviance = mydeviance(fit), nameattr
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| /dports/math/R-cran-statmod/statmod/R/ |
| H A D | glmgam.R | 16 if(n == 0) return(list(coefficients=numeric(0),fitted.values=numeric(0),deviance=numeric(0))) nameattr
20 if(maxy==0) return(list(coefficients=rep(0,p),fitted.values=rep(0,n),deviance=NA)) nameattr
46 return(list(coefficients=rep(0,p),fitted.values=rep(0,n),deviance=Inf)) nameattr
136 list(coefficients=beta,fitted.values=as.vector(mu),deviance=dev,iter=iter) nameattr
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| H A D | glmnb.R | 46 return(list(coefficients=beta,fitted.values=mu,deviance=0,iter=0L,convergence="converged")) nameattr
56 return(list(coefficients=beta,fitted.values=mu,deviance=0,iter=0L,convergence="converged")) nameattr
199 list(coefficients=beta,fitted.values=as.vector(mu),deviance=dev,iter=iter,convergence=convergence) nameattr
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| /dports/math/R-cran-memisc/memisc/R/ |
| H A D | xx-getSummary.R | 31 deviance <- deviance(obj) functionVar
43 deviance = deviance, nameattr
85 deviance <- deviance(obj) functionVar
114 deviance = deviance, nameattr
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| H A D | yy-mtable-ext-DaveAtkins.R | 41 deviance <- deviance(obj) functionVar
69 deviance = deviance, nameattr
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| H A D | yz-getSummary-merMod.R | 80 deviance <- deviance(obj) functionVar
90 deviance = deviance, nameattr
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| H A D | yz-getSummary-ordinal.R | 73 deviance = dev, nameattr
190 deviance = dev, nameattr
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| /dports/misc/actiona/actiona-3.10.1/actiontools/qtimagefilters/ |
| H A D | gaussfilter.h | 104 static qreal Gauss2DFunction(int x, int y, qreal deviance) in Gauss2DFunction()
129 double deviance = sqrt(-m_radius*m_radius/(2*log(1/255.0))); in apply() local
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| /dports/biology/bamutil/bamUtil-1.0.15/src/ |
| H A D | LogisticRegression.cpp | 33 double deviance = -2.0 * ll; in GetDeviance() local
50 double deviance = -2.0 * ll; in GetDeviance() local
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| /dports/math/py-spglm/spglm-1.0.8/spglm/ |
| H A D | family.py | 113 def deviance(self, endog, mu, freq_weights=1., scale=1.): member in Family
290 def deviance(self, endog, mu, freq_weights=1., scale=1.): member in Poisson
418 def deviance(self, endog, mu, freq_weights=1., scale=1.): member in QuasiPoisson
523 def deviance(self, endog, mu, freq_weights=1., scale=1.): member in Gaussian
633 def deviance(self, endog, mu, freq_weights=1., scale=1.): member in Gamma
800 def deviance(self, endog, mu, freq_weights=1, scale=1., axis=None): member in Binomial
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| /dports/devel/R-cran-broom/broom/R/ |
| H A D | ergm-tidiers.R | 126 glance.ergm <- function(x, deviance = FALSE, mcmc = FALSE, ...) { argument
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| H A D | fixest-tidiers.R | 101 type.residuals = c("response", "deviance", "pearson", "working"),
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| /dports/devel/R-cran-vcd/vcd/R/ |
| H A D | plot.loglm.R | 4 residuals_type = c("pearson", "deviance"),
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| H A D | goodfit.R | 193 print.goodfit <- function(x, residuals_type = c("pearson", "deviance", "raw"), ...)
258 residuals.goodfit <- function(object, type = c("pearson", "deviance", "raw"), ...)
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| /dports/math/R-cran-nnls/nnls/R/ |
| H A D | nnls.R | 24 nnls.out <- list(x=sol$X, deviance=sol$RNORM^2, nameattr
56 nnnpls.out <- list(x=sol$X, deviance=sol$RNORM^2, nameattr
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| /dports/devel/R-cran-glmnet/glmnet/R/ |
| H A D | cv.elnet.R | 2 typenames=c(deviance="Mean-Squared Error",mse="Mean-Squared Error",mae="Mean Absolute Error") nameattr
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| H A D | cv.mrelnet.R | 2 typenames=c(deviance="Mean-Squared Error",mse="Mean-Squared Error",mae="Mean Absolute Error") nameattr
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| H A D | cv.glmnet.R | 1 cv.glmnet=function(x,y,weights,offset=NULL,lambda=NULL,type.measure=c("mse","deviance","class","auc…
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| H A D | cv.lognet.R | 2 …typenames=c(mse="Mean-Squared Error",mae="Mean Absolute Error",deviance="Binomial Deviance",auc="A… nameattr
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| /dports/math/R-cran-survey/survey/R/ |
| H A D | svysurvreg.R | 6 residuals.svysurvreg<-function(object, type = c("response", "deviance", "dfbeta",
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| /dports/devel/R-cran-sfsmisc/sfsmisc/R/ |
| H A D | printTable.R | 37 df = df, chisq.test = test.chisq, deviance = test.deviance)) nameattr
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/panel/ |
| H A D | mixed.py | 168 def deviance(self, ML=False): member in Unit
386 def deviance(self, ML=False): member in OneWayMixed
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| /dports/math/jags/JAGS-4.3.0/src/modules/glm/samplers/ |
| H A D | IWLS.cc | 89 double deviance = 0; in logPTransition() local
|