/dports/math/R-cran-NMF/NMF/man/ |
H A D | deviance.Rd | 2 \name{deviance} 3 \alias{deviance} 4 \alias{deviance-methods} 5 \alias{deviance,NMFfit-method} 6 \alias{deviance,NMFfitX-method} 7 \alias{deviance,NMF-method} 8 \alias{deviance,NMFStrategy-method} 12 deviance(object, ...) 14 \S4method{deviance}{NMF}(object, y, 32 function to use to compute the deviance. In [all …]
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/dports/games/netradiant/netradiant-20150621-src/tools/quake3/q3map2/q3map2_fsr_newfiles/ |
H A D | q3map2_fsr_svn158.patch | 8 /* ydnar: get deviance and samples */ 10 deviance = FloatForKey( e, "_deviance" ); 11 if( deviance == 0.0f ) 12 deviance = FloatForKey( e, "_deviation" ); 13 if( deviance == 0.0f ) 14 deviance = FloatForKey( e, "_jitter" ); 16 + numSamples = max(IntForKey( e, "_samples" ), deviance); 17 if( deviance < 0.0f || numSamples < 1 ) 19 deviance = 0.0f;
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/dports/math/R-cran-VGAM/VGAM/R/ |
H A D | deviance.vlm.q | 10 deviance.vlm <- function(object, 14 object@criterion$deviance 21 "'deviance' slot of the object.") 37 deviance.vglm <- function(object, 40 object@criterion$deviance 52 if (!isGeneric("deviance")) 54 standardGeneric("deviance")) 58 deviance.vlm(object, ...)) 63 deviance.vglm(object, ...)) 74 deviance.qrrvglm <- function(object, [all …]
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H A D | print.vlm.q | 34 if (length(deviance(object)) && 35 is.finite(deviance(object))) 36 cat("Deviance:", format(deviance(object)), "\n") 79 if (length(deviance(x)) && 80 is.finite(deviance(x))) 81 cat("Deviance:", format(deviance(x)), "\n")
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H A D | print.vglm.q | 159 if (length(deviance(object))) 160 cat("Residual deviance:", format(deviance(object)), "\n") 229 if (length(deviance(object))) 230 cat("Residual deviance:", format(deviance(object)), "\n") 240 ii != "deviance") 291 if (length(deviance(object))) 292 cat("Residual deviance:", format(deviance(object)), "\n")
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H A D | anova.vglm.q | 125 has.deviance <- !is.null(dev.object <- deviance(object)) && trydev 149 .has.deviance = has.deviance, 212 object.null.deviance <- fit0$crit.list$deviance 292 resdev <- c(object.null.deviance, resdev, deviance(object)) 301 if (has.deviance) { 311 col2 = pmax(0, resdev - deviance(object)), 357 if (!has.deviance) 375 .has.deviance = FALSE, argument 424 if (.has.deviance && .trydev) 428 table <- if (.has.deviance) [all …]
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/dports/devel/R-cran-glmnet/glmnet/man/ |
H A D | deviance.glmnet.Rd | 1 \name{deviance.glmnet} 2 \alias{deviance.glmnet} 3 \title{Extract the deviance from a glmnet object} 5 Compute the deviance sequence from the glmnet object 8 \method{deviance}{glmnet}(object,...) 16 …The former is the fraction of (null) deviance explained. The deviance calculations incorporate wei… 17 present in the model. The deviance is defined to be 2*(loglike_sat - 20 Null deviance is defined to 23 dev.ratio=1-deviance/nulldev, and this 24 \code{deviance} method returns (1-dev.ratio)*nulldev. [all …]
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/dports/math/R-cran-lme4/lme4/tests/ |
H A D | REMLdev.R | 5 deviance(fm1ML) 6 deviance(fm1,REML=FALSE) ## FIXME: not working yet (NA) 7 deviance(fm1,REML=TRUE) 13 … all.equal(REMLcrit(fm1),deviance(fm1,REML=TRUE),deviance(fm1ML,REML=TRUE),oldvals["REML"]), 14 all.equal(deviance(fm1ML),deviance(fm1ML,REML=FALSE),oldvals["ML"]), 16 all.equal(deviance(fm1ML)/-2,c(logLik(fm1ML,REML=FALSE)),
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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 81 LR <- smry$null.deviance - smry$deviance 85 deviance <- deviance(obj) functionVar 92 McFadden <- 1- smry$deviance/smry$null.deviance 114 deviance = deviance, nameattr
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H A D | yy-mtable-ext-DaveAtkins.R | 37 LR <- smry$null.deviance - smry$deviance 41 deviance <- deviance(obj) functionVar 47 McFadden <- 1 - smry$deviance/smry$null.deviance 69 deviance = deviance, nameattr
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H A D | yy-mtable-ext-ChristopherNLawrence.R | 34 LR <- deviance(null.model) - deviance(obj) 38 dev <- deviance(obj) 42 L0.pwr <- exp(-deviance(null.model)/N) 46 McFadden <- 1 - dev/deviance(null.model) 67 deviance = dev, nameattr
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H A D | yz-getSummary-merMod.R | 80 deviance <- deviance(obj) functionVar 82 deviance <- lme4::REMLcrit(obj) 90 deviance = deviance, nameattr
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/dports/math/R/R-4.1.2/src/library/stats/man/ |
H A D | deviance.Rd | 1 % File src/library/stats/man/deviance.Rd 6 \name{deviance} 7 \alias{deviance} 10 Returns the deviance of a fitted model object. 13 deviance(object, \dots) 16 \item{object}{an object for which the deviance is desired.} 25 The value of the deviance extracted from the object \code{object}.
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H A D | anova.glm.Rd | 13 Compute an analysis of deviance table for one or more generalized 27 Specifying a single object gives a sequential analysis of deviance 28 table for that fit. That is, the reductions in the residual deviance 33 residual degrees of freedom and deviance for each model. 35 deviance is also given. (This only makes statistical sense if the 40 comparing the reduction in deviance for the row to the residuals. 46 deviance plus twice the estimate of \eqn{\sigma^2} times 57 the residual deviance in the analysis of deviance table shown.
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/dports/math/libRmath/R-4.1.1/src/library/stats/man/ |
H A D | deviance.Rd | 1 % File src/library/stats/man/deviance.Rd 6 \name{deviance} 7 \alias{deviance} 10 Returns the deviance of a fitted model object. 13 deviance(object, \dots) 16 \item{object}{an object for which the deviance is desired.} 25 The value of the deviance extracted from the object \code{object}.
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H A D | anova.glm.Rd | 13 Compute an analysis of deviance table for one or more generalized 27 Specifying a single object gives a sequential analysis of deviance 28 table for that fit. That is, the reductions in the residual deviance 33 residual degrees of freedom and deviance for each model. 35 deviance is also given. (This only makes statistical sense if the 40 comparing the reduction in deviance for the row to the residuals. 46 deviance plus twice the estimate of \eqn{\sigma^2} times 57 the residual deviance in the analysis of deviance table shown.
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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() argument 115 return exp(-(x*x + y*y)/(2*deviance*deviance))/(2*M_PI*deviance*deviance); in Gauss2DFunction() 129 double deviance = sqrt(-m_radius*m_radius/(2*log(1/255.0))); in apply() local 133 matLeft.setData(uRadius + x, 0, Gauss2DFunction(x, 0, deviance)); in apply()
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/genmod/tests/results/ |
H A D | results_glm.py | 316 self.deviance = 8.68876986288542e-05 622 self.deviance = 4078.76541772 728 self.deviance = 201.4479911325021 793 self.deviance = 0.087388516417 946 self.deviance = 16.174635536991005 1085 self.deviance = 15.093762327607557 1128 self.deviance = 18.591641759528944 1209 self.deviance = 1423.943980407997 2253 self.deviance = 304.27188306012789 3013 self.deviance = 305.33661191013988 [all …]
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/dports/devel/R-cran-broom/broom/man/ |
H A D | glance.ergm.Rd | 7 \method{glance}{ergm}(x, deviance = FALSE, mcmc = FALSE, ...) 12 \item{deviance}{Logical indicating whether or not to report null and 13 residual deviance for the model, as well as degrees of freedom. Defaults 30 If \code{deviance = TRUE}, and if the model supports it, the 32 \item{null.deviance}{The null deviance of the model} 33 \item{df.null}{The degrees of freedom of the null deviance} 34 \item{residual.deviance}{The residual deviance of the model} 35 \item{df.residual}{The degrees of freedom of the residual deviance}
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/dports/math/py-statsmodels/statsmodels-0.13.1/examples/python/ |
H A D | glm_weights.py | 259 np.column_stack([[r.llf, r.deviance, r.pearson_chi2] 285 res_o2.pearson_chi2 - res_o.pearson_chi2, res_o2.deviance - res_o.deviance, res_o2.llf - res_o.llf 295 res_f2.pearson_chi2 - res_f.pearson_chi2, res_f2.deviance - res_f.deviance, res_f2.llf - res_f.llf 309 res_e2.pearson_chi2 - res_e.pearson_chi2, res_e2.deviance - res_e.deviance, res_e2.llf - res_e.llf 318 res_a2.pearson_chi2 - res_a.pearson_chi2, res_a2.deviance - res_a.deviance, res_a2.llf - res_a.llf
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/dports/math/R-cran-pbkrtest/pbkrtest/man/ |
H A D | devfun_vp.Rd | 12 \item{devfun}{deviance function as a function of theta only.} 14 \item{reml}{if \code{TRUE} the REML deviance is computed; 15 if \code{FALSE}, the ML deviance is computed.} 18 the REML or ML deviance.
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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 67 cat("residual sum-of-squares: ", format(x$deviance, digits = digits), 81 cat("residual sum-of-squares: ", format(x$deviance, digits = digits), 94 deviance.nnls <- deviance.nnnpls <- function(object, ...) object$deviance
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/dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/duration/tests/results/ |
H A D | km_cox1.do | 34 * predict predictall, hr xb stdp basesurv basechazard basehc mgale csnell deviance ldisplace lmax e… 36 >>> for i in 'hr xb stdp basesurv basechazard basehc mgale csnell deviance ldisplace lmax effects'.… 46 predict deviance, deviance 51 outsheet hr xb stdp basesurv basechazard basehc mgale csnell deviance ldisplace lmax using "surv_co…
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/dports/devel/R-cran-broom/broom/tests/testthat/ |
H A D | test-ergm.R | 45 gl <- glance(gest, deviance = TRUE) 46 gl2 <- glance(gest3, deviance = TRUE, mcmc = TRUE) 48 gl3 <- glance(gest, deviance = TRUE, mcmc = TRUE)
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/dports/math/R-cran-lme4/lme4/man/ |
H A D | devcomp.Rd | 3 \title{Extract the deviance component list} 13 \item{cmp}{a named numeric vector of components of the deviance} 16 Return the deviance component list
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