/dports/graphics/R-cran-pROC/pROC/tests/testthat/ |
H A D | test-auc.R | 7 expect_equal(as.numeric(auc(r.wfns)), 0.823678861788618) 10 expect_equal(as.numeric(auc(r.ndka)), 0.611957994579946) 160 expect_equal(as.numeric(auc(aSAH$outcome, aSAH$wfns)), as.numeric(auc(r.wfns))) 161 expect_equal(as.numeric(auc(aSAH$outcome, aSAH$ndka)), as.numeric(auc(r.ndka))) 163 expect_equal(as.numeric(auc(outcome ~ wfns, aSAH)), as.numeric(auc(r.wfns))) 164 expect_equal(as.numeric(auc(outcome ~ ndka, aSAH)), as.numeric(auc(r.ndka))) 168 …expect_equal(as.numeric(auc(aSAH$outcome, aSAH$wfns, percent = TRUE)), as.numeric(auc(r.wfns.perce… 169 …expect_equal(as.numeric(auc(aSAH$outcome, aSAH$ndka, percent = TRUE)), as.numeric(auc(r.ndka.perce… 171 …expect_equal(as.numeric(auc(outcome ~ wfns, aSAH, percent = TRUE)), as.numeric(auc(r.wfns.percent)… 172 …expect_equal(as.numeric(auc(outcome ~ ndka, aSAH, percent = TRUE)), as.numeric(auc(r.ndka.percent)… [all …]
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H A D | test-cov.R | 19 expect_equal(cov(auc(r.wfns), auc(r.ndka)), -0.000532967856762438) 35 expect_equal(cov(auc(r.s100b.percent), auc(r.wfns.percent)), 11.9615567376754) 42 expect_equal(cov(auc(r.s100b.percent), auc(r.wfns.percent), method = "obuchowski"), 8.560803) 50 expect_warning(cov(auc(r.wfns), r.ndka.percent)) 51 expect_warning(cov(r.wfns, auc(r.ndka.percent))) 52 expect_warning(cov(r.wfns, auc(r.ndka.percent))) 65 expect_equal(cov(auc(r1), auc(r2)), -7.56164938056579) 66 expect_equal(cov(auc(r1), r2), -7.56164938056579) 67 expect_equal(cov(r1, auc(r2)), -7.56164938056579) 85 …for (roc1 in list(r.s100b, auc(r.s100b), smooth(r.s100b), r.s100b.partial2, r.s100b.partial2$auc))… [all …]
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H A D | test-multiclass.R | 12 expect_false(attributes(uv.mr$auc)$partial.auc) 13 expect_false(attributes(uv.mr$auc)$percent) 29 uv.ma <- auc(uv.mr) 33 expect_true(attributes(uv.mr$auc)$percent) 42 uv.ma <- auc(uv.mr, partial.auc=pauc.spec) 93 expect_equal(as.numeric(auc(mv.mr)), 1) 129 expect_equal(as.numeric(auc(mv.mr.f)), as.numeric(auc(mv.mr))) 132 expect_equal(as.numeric(auc(mv.mr)), as.numeric(auc(mv.mr))) 182 expect_equal(as.numeric(mv.mr$auc), .1) 183 expect_equal(as.numeric(auc(mv.mr)), 1) [all …]
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H A D | test-power.roc.test.R | 8 expect_equal(as.numeric(res$auc), as.numeric(r.s100b$auc)) 17 expect_equal(as.numeric(res$auc), as.numeric(r.s100b$auc)) 26 expect_equal(as.numeric(res$auc), 0.73) 35 res <- power.roc.test(ncases=41, ncontrols=72, auc=0.73) 41 res <- power.roc.test(auc=r.s100b$auc, sig.level=0.05, power=0.95, kappa=1.7) 42 expect_equal(as.numeric(res$auc), as.numeric(r.s100b$auc)) 51 expect_equal(as.numeric(res$auc), 0.73) 71 expect_equal(as.numeric(res$auc1), as.numeric(r.ndka$auc)) 72 expect_equal(as.numeric(res$auc2), as.numeric(r.wfns$auc)) 83 expect_equal(as.numeric(res$auc1), as.numeric(r.ndka$auc)) [all …]
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H A D | test-numeric-accuracy.R | 16 expect_equal(as.numeric(auc(r1)), as.numeric(auc(r2))) 17 expect_equal(as.numeric(auc(r1)), as.numeric(auc(r3))) 24 expect_equal(as.numeric(auc(r1)), as.numeric(auc(r2))) 25 expect_equal(as.numeric(auc(r1)), as.numeric(auc(r3))) 32 expect_equal(pROC:::delongPlacements(r1)$theta, as.numeric(auc(r1))) 33 expect_equal(pROC:::delongPlacements(r2)$theta, as.numeric(auc(r2))) 34 expect_equal(pROC:::delongPlacements(r3)$theta, as.numeric(auc(r3))) 41 expect_equal(pROC:::delongPlacements(r1)$theta, as.numeric(auc(r1))) 42 expect_equal(pROC:::delongPlacements(r2)$theta, as.numeric(auc(r2))) 43 expect_equal(pROC:::delongPlacements(r3)$theta, as.numeric(auc(r3)))
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H A D | test-var.R | 13 expect_equal(var(auc(r.wfns)), 0.00146991470882363) 14 expect_equal(var(auc(r.ndka)), 0.0031908105493913) 15 expect_equal(var(auc(r.s100b)), 0.00266868245717244) 27 expect_equal(var(auc(r.wfns.percent)), 14.6991470882363) 28 expect_equal(var(auc(r.ndka.percent)), 31.908105493913) 29 expect_equal(var(auc(r.s100b.percent)), 26.6868245717244) 43 …for (roc1 in list(r.s100b, auc(r.s100b), smooth(r.s100b), r.s100b.partial1, r.s100b.partial1$auc))…
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/dports/graphics/R-cran-pROC/pROC/R/ |
H A D | auc.R | 20 auc <- function(...) { function 35 roc(response, predictor, auc = TRUE, ...)$auc 39 roc.default(response, predictor, auc=TRUE, ...)$auc 53 auc <- as.vector(auc) # remove potential pre-existing attributes 65 return(auc) 75 auc <- as.vector(auc) # remove potential pre-existing attributes 86 return(auc) 188 auc <- auc/100 197 auc <- NA 215 class(auc) <- c("auc", class(auc)) [all …]
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H A D | cov.R | 33 roc1$auc <- auc1 54 roc2$auc <- auc2 90 if (is.null(roc1$auc) | !reuse.auc) { 92 roc1$auc <- auc(smooth.roc=do.call("smooth.roc", c(list(roc=roc1), smoothing.args$roc1)), ...) 102 roc1$auc <- auc(roc1, ...) 104 if (is.null(roc2$auc) | !reuse.auc) { 106 roc2$auc <- auc(smooth.roc=do.call("smooth.roc", c(list(roc=roc2), smoothing.args$roc2)), ...) 116 roc2$auc <- auc(roc2, ...) 120 …if (!identical(attributes(roc1$auc)[names(attributes(roc1$auc))!="roc"], attributes(roc2$auc)[name… 162 if ((has.partial.auc(roc1) && attr(roc1$auc, "partial.auc.focus") == "sensitivity") [all …]
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H A D | ci.auc.R | 47 ci.auc.auc <- function(auc, ...) { argument 48 roc <- attr(auc, "roc") 49 roc$auc <- auc 70 if (is.null(smooth.roc$auc) | !reuse.auc) 71 smooth.roc$auc <- auc(smooth.roc, ...) 85 oldauc <- smooth.roc$auc 89 attr(smooth.roc$auc, "partial.auc") <- attr(smooth.roc$auc, "partial.auc") / 100 95 auc.args <- attributes(smooth.roc$auc)[grep("partial.auc", names(attributes(smooth.roc$auc)))] 147 if (is.null(roc$auc) | !reuse.auc) 148 roc$auc <- auc(roc, ...) [all …]
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H A D | power.roc.test.R | 35 roc1$auc <- auc(roc1, ...) 51 roc2$auc <- auc(roc2, ...) 71 …if (!identical(attributes(roc1$auc)[names(attributes(roc1$auc))!="roc"], attributes(roc2$auc)[name… 121 auc <- auc(roc1) functionVar 152 if (is.null(auc)) { 167 auc <- root$root 176 else if (is.null(auc)) 196 else if (is.null(auc)) 354 delta <- roc1$auc - roc2$auc 383 delta <- roc1$auc - roc2$auc [all …]
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H A D | roc.test.R | 94 roc1$auc <- auc1 128 roc2$auc <- auc2 188 roc1$auc <- auc(smooth.roc=do.call("smooth.roc", c(list(roc=roc1), smoothing.args$roc1)), ...) 198 roc1$auc <- auc(roc1, ...) 202 roc2$auc <- auc(smooth.roc=do.call("smooth.roc", c(list(roc=roc2), smoothing.args$roc2)), ...) 212 roc2$auc <- auc(roc2, ...) 216 …if (!identical(attributes(roc1$auc)[names(attributes(roc1$auc))!="roc"], attributes(roc2$auc)[name… 280 estimate <- roc1$auc 284 estimate <- c(estimate, roc2$auc) 291 …"pAUC (", attr(roc1$auc, "partial.auc")[1], "-", attr(roc1$auc, "partial.auc")[2], " ", attr(roc1$… [all …]
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H A D | var.R | 27 var.auc <- function(auc, ...) { argument 29 roc <- auc 30 attr(auc, "roc") <- NULL 32 roc$auc <- auc 50 if (is.null(roc$auc) | !reuse.auc) 51 roc$auc <- auc(roc, ...) 94 if (has.partial.auc(roc) && attr(roc$auc, "partial.auc.focus") == "sensitivity") { 130 auc.args <- attributes(roc$auc)[grep("partial.auc", names(attributes(roc$auc)))]
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/dports/graphics/R-cran-pROC/pROC/man/ |
H A D | has.partial.auc.Rd | 2 \name{has.partial.auc} 3 \alias{has.partial.auc} 5 \alias{has.partial.auc.auc} 6 \alias{has.partial.auc.roc} 15 has.partial.auc(roc) 16 \S3method{has.partial.auc}{auc}(roc) 32 \code{\link{auc}} 40 has.partial.auc(roc1) 41 has.partial.auc(auc(roc1)) 46 has.partial.auc(roc2) [all …]
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H A D | ci.auc.Rd | 2 \name{ci.auc} 3 \alias{ci.auc} 4 \alias{ci.auc.auc} 10 \alias{ci.auc.multiclass.auc} 30 \S3method{ci.auc}{auc}(auc, ...) 32 \S3method{ci.auc}{multiclass.auc}(multiclass.auc, ...) 33 \S3method{ci.auc}{auc}(auc, ...) 43 \item{auc}{an \dQuote{auc} object from the \code{\link{auc}} function.} 228 partial.auc=c(1, .8), partial.auc.focus="se", partial.auc.correct=TRUE, 232 partial.auc=c(1, .8), partial.auc.focus="se", partial.auc.correct=TRUE, [all …]
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H A D | auc.Rd | 2 \name{auc} 3 \alias{auc} 4 \alias{auc.default} 5 \alias{auc.formula} 6 \alias{auc.roc} 7 \alias{auc.smooth.roc} 22 auc(...) 23 \S3method{auc}{roc}(roc, partial.auc=FALSE, partial.auc.focus=c("specificity", 62 \code{auc.default}, \code{auc.formula}, \code{auc.smooth.roc}. 174 auc(roc.s100b) [all …]
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H A D | plot.roc.Rd | 55 print.auc=FALSE, 60 print.auc.col=col, 77 auc.polygon=FALSE, 113 plot (specifically \code{print.auc}, \code{auc.polygon} and 177 \item{print.auc.adj, print.auc.cex, print.auc.col}{the text 202 \item{auc.polygon.col, auc.polygon.lty, auc.polygon.density, 210 \item{max.auc.polygon.col, max.auc.polygon.lty, max.auc.polygon.density, 256 For \code{print.auc}, \code{auc.polygon} and \code{max.auc.polygon} 281 field and \code{reuse.auc=TRUE}, \link{auc} is not called and 323 plot(roc.s100b, print.auc=TRUE, auc.polygon=TRUE, partial.auc=c(1, 0.8), [all …]
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H A D | groupGeneric.Rd | 5 \alias{groupGeneric.auc} 11 \alias{Ops.auc} 12 \alias{Math.auc} 19 \alias{Ops.ci.auc} 20 \alias{Math.ci.auc} 29 …Redefine \pkg{base} groupGeneric functions to handle \code{\link{auc}} and \code{\link{ci}} object… 39 \item{x, e1, e2}{\code{\link{auc}} objects, or mixed numerics and \code{auc} objects. 47 \code{\link{groupGeneric}}, \code{\link{auc}} 53 aucobj1 <- auc(roc(aSAH$outcome, aSAH$s100b)) 54 aucobj2 <- auc(roc(aSAH$outcome, aSAH$wfns))
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H A D | print.Rd | 7 \alias{print.ci.auc} 12 \alias{print.auc} 13 \alias{print.multiclass.auc} 29 \S3method{print}{auc}(x, digits=max(3, getOption("digits") - 3), ...) 31 \S3method{print}{ci.auc}(x, digits=max(3, getOption("digits") - 3), ...) 40 \item{x}{a roc, auc or ci object, from the \link{roc}, \link{auc} or 48 particular, \code{print.roc} calls \code{print.auc} and the 50 propagated. Not used in print.auc and print.ci variants. 59 \code{\link{roc}}, \code{\link{auc}}, \code{\link{ci}}, \code{\link{coords}} 74 # Print an auc and a ci object, from the ROC object or calling [all …]
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/dports/graphics/R-cran-pROC/pROC/ |
H A D | NAMESPACE | 2 S3method("are.paired", "auc") 6 export(auc) 7 S3method("auc", "roc") 9 S3method("auc", "formula") 10 S3method("auc", "default") 19 S3method("ci", "auc") 47 export(ci.auc) 52 S3method("ci.auc", "auc") 54 S3method("ci.auc", "multiclass.auc") 64 S3method("cov", "auc") [all …]
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/dports/devel/R-cran-ModelMetrics/ModelMetrics/man/ |
H A D | auc.Rd | 3 \name{auc} 4 \alias{auc} 5 \alias{auc.default} 6 \alias{auc.glm} 7 \alias{auc.randomForest} 8 \alias{auc.glmerMod} 9 \alias{auc.gbm} 10 \alias{auc.rpart} 13 auc(...) 44 auc(testDF$y, Preds) [all …]
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/dports/misc/py-xgboost/xgboost-1.5.1/src/metric/ |
H A D | auc.cc | 48 float auc {0}; in BinaryAUC() local 74 auc = 0; in BinaryAUC() 151 float auc{0}; in GroupRankingAUC() local 171 auc /= sum_w; in GroupRankingAUC() 174 return auc; in GroupRankingAUC() 199 float auc; in RankingAUC() local 204 auc = 0; in RankingAUC() 208 sum_auc += auc; in RankingAUC() 226 float auc {0}; in Eval() local 303 auc = auc / local_area; in Eval() [all …]
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/dports/misc/xgboost/xgboost-1.5.1/src/metric/ |
H A D | auc.cc | 48 float auc {0}; in BinaryAUC() local 74 auc = 0; in BinaryAUC() 151 float auc{0}; in GroupRankingAUC() local 171 auc /= sum_w; in GroupRankingAUC() 174 return auc; in GroupRankingAUC() 199 float auc; in RankingAUC() local 204 auc = 0; in RankingAUC() 208 sum_auc += auc; in RankingAUC() 226 float auc {0}; in Eval() local 303 auc = auc / local_area; in Eval() [all …]
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/dports/lang/sdcc/sdcc-4.0.0/sim/ucsim/stm8.src/ |
H A D | timercl.h | 103 cl_tim(class cl_uc *auc, int aid, t_addr abase); 133 cl_tim1(class cl_uc *auc, int aid, t_addr abase); 140 cl_tim1_saf(class cl_uc *auc, int aid, t_addr abase); 147 cl_tim1_all(class cl_uc *auc, int aid, t_addr abase); 156 cl_tim235(class cl_uc *auc, int aid, t_addr abase); 179 cl_tim2_all(class cl_uc *auc, int aid, t_addr abase); 194 cl_tim3_saf(class cl_uc *auc, int aid, t_addr abase); 202 cl_tim3_all(class cl_uc *auc, int aid, t_addr abase); 217 cl_tim5_saf(class cl_uc *auc, int aid, t_addr abase); 225 cl_tim5_all(class cl_uc *auc, int aid, t_addr abase); [all …]
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/dports/math/PDL/PDL-2.019/Lib/Filter/ |
H A D | LinPred.pm | 106 my $auc = $this->{AutoCor}; 135 .= $auc->slice(($n+$nl-1).":$n"); 138 .= $auc->slice(($n+$nl-1).":$n"); 195 my $auc = $this->{AutoCor}; 197 print "AUTOCOR: $auc\n"; 241 my ($auc,$auc1); 252 $auc -= $da ** 2; 258 $auc = $auc1; 263 $this->{AutoCor} = $auc; 269 $auc->slice("-1:1"); [all …]
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/dports/misc/py-xgboost/xgboost-1.5.1/tests/cpp/metric/ |
H A D | test_auc.cc | 25 float auc = metric->Eval({1, 1}, info, false); in TEST() local 26 ASSERT_TRUE(std::isnan(auc)); in TEST() 28 auc = metric->Eval(HostDeviceVector<float>{}, info, false); in TEST() 29 ASSERT_TRUE(std::isnan(auc)); in TEST() 85 float auc = GetMetricEval(metric, in TEST() local 92 EXPECT_TRUE(std::isnan(auc)) << auc; in TEST() 101 auc = GetMetricEval(metric, predts, labels, {1.0f, 2.0f, 3.0f, 4.0f}); in TEST() 102 ASSERT_GT(auc, 0.714); in TEST()
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