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/dports/editors/libreoffice/libreoffice-7.2.6.2/salhelper/source/
H A Dgcc3.map36 # marginal type discrepancy there is a difference in the
57 # marginal type discrepancy there is a difference in the
/dports/math/R-cran-VGAM/VGAM/man/
H A Dbifgmcop.Rd31 The marginal distributions are the standard uniform distributions.
70 This is because each marginal distribution corresponds to a standard
H A Dbiamhcop.Rd53 The marginal distributions are the standard uniform distributions.
92 This is because each marginal distribution corresponds to a standard
/dports/math/R-cran-BsMD/BsMD/man/
H A Dplot.BsProb.Rd5 Method function for plotting marginal factor posterior probabilities for Bayesian screening.
29 resulting range of each marginal probability.
/dports/editors/libreoffice6/libreoffice-6.4.7.2/salhelper/source/
H A Dgcc3.map36 # marginal type discrepancy there is a difference in the
57 # marginal type discrepancy there is a difference in the
/dports/editors/texstudio/texstudio-4.1.2/completion/
H A Dfootmisc.cwl19 #ifOption:marginal
/dports/math/R/R-4.1.2/src/library/stats/man/
H A Dloglin.Rd20 \item{margin}{a list of vectors with the marginal totals to be fit.
23 marginal totals which give the \sQuote{maximal} factor subsets contained
61 model. The \sQuote{standard} constraints of zero marginal sums
/dports/math/R-cran-KFAS/KFAS/man/
H A Drstandard.KFS.Rd10 standardization_type = c("marginal", "cholesky"),
21 \item{standardization_type}{Type of standardization. Either \code{"marginal"}
22 (default) for marginal standardization or \code{"cholesky"} for Cholesky-type standardization.}
/dports/math/libRmath/R-4.1.1/src/library/stats/man/
H A Dloglin.Rd20 \item{margin}{a list of vectors with the marginal totals to be fit.
23 marginal totals which give the \sQuote{maximal} factor subsets contained
61 model. The \sQuote{standard} constraints of zero marginal sums
/dports/devel/R-cran-reshape/reshape/man/
H A Dcompute-margins-dh.rd7 Compute marginal values.
/dports/math/R-cran-MCMCpack/MCMCpack/man/
H A DMCMCnegbin.Rd24 marginal.likelihood = c("none", "Chib95"),
89 \item{marginal.likelihood}{How should the marginal likelihood be calculated?
90 Options are: \code{none} in which case the marginal likelihood will not be
H A DMCMCregress.Rd22 marginal.likelihood = c("none", "Laplace", "Chib95"),
89 \item{marginal.likelihood}{How should the marginal likelihood be calculated?
90 Options are: \code{none} in which case the marginal likelihood will not be
H A DMCMCnegbinChange.Rd30 marginal.likelihood = c("none", "Chib95"),
121 \item{marginal.likelihood}{How should the marginal likelihood be calculated?
122 Options are: \code{none} in which case the marginal likelihood will not be
194 marginal.likelihood = "Chib95",
H A DMCMCresidualBreakAnalysis.Rd25 marginal.likelihood = c("none", "Chib95"),
105 \item{marginal.likelihood}{How should the marginal likelihood be calculated?
106 Options are: \code{none} in which case the marginal likelihood will not be
/dports/math/R-cran-miscTools/miscTools/man/
H A DmargEff.Rd17 \item{ object }{an object of which marginal effects should be calculated.}
/dports/math/openturns/openturns-1.18/python/src/
H A DKrigingResult_doc.i.in234 …The point :math:`\vect{x}` where the conditional marginal covariance of the output has to be evalu…
236 …The sample :math:`(\vect{\xi}_1, \dots, \vect{\xi}_M)` where the conditional marginal covariance o…
282 float if one point (x) and one marginal of interest (x, marginalIndex)
285 The marginal variances
290 In case of fourth usage, the sequence of float is given as the concatenation of marginal variances
H A DMetaModelAlgorithm_doc.i.in28 For each marginal, find the best 1-d continuous parametric model
45 One each marginal is estimated, we use the Spearman independence test on each component pair to dec…
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Distribution/
H A DConditionalDistribution.cxx249 const Distribution marginal(conditioningDistribution.getMarginal(i)); in setConditionedAndConditioningDistributionsAndLinkFunction() local
251 if (marginal.isContinuous()) in setConditionedAndConditioningDistributionsAndLinkFunction()
254 continuousLowerBounds_.add(marginal.getRange().getLowerBound()[0]); in setConditionedAndConditioningDistributionsAndLinkFunction()
255 continuousUpperBounds_.add(marginal.getRange().getUpperBound()[0]); in setConditionedAndConditioningDistributionsAndLinkFunction()
260 const Sample support(marginal.getSupport()); in setConditionedAndConditioningDistributionsAndLinkFunction()
H A DComposedDistribution.cxx849 Distribution marginal(distributionCollection_[i]); in getMarginal() local
850 marginal.setDescription(Description(1, getDescription()[i])); in getMarginal()
851 return marginal; in getMarginal()
863 Distribution marginal(distributionCollection_[i]); in getMarginal() local
864 marginal.setDescription(Description(1, getDescription()[i])); in getMarginal()
865 return marginal; in getMarginal()
877 ComposedDistribution marginal(marginalDistributions, marginalCopula); in getMarginal() local
878 marginal.setDescription(marginalDescription); in getMarginal()
879 return marginal; in getMarginal()
H A DNormal.cxx660 Normal::Implementation marginal(new Normal(mean, sigma, R)); in getMarginal() local
661 marginal->setDescription(Description(1, getDescription()[i])); in getMarginal()
662 return marginal; in getMarginal()
691 Normal::Implementation marginal(new Normal(mean, sigma, R)); in getMarginal() local
692 marginal->setDescription(marginalDescription); in getMarginal()
693 return marginal; in getMarginal()
/dports/devel/z88dk/z88dk/libsrc/_DEVELOPMENT/math/integer/fast/
H A Dl_fast_divu_16_16x16.asm90 ; eliminating leading zeroes is only marginal
204 ; eliminating leading zeroes is marginal
/dports/games/gnugo/gnugo-3.8/patterns/
H A Deyes.db31 # ! - marginal eye space #
32 # @ - marginal eye space and key point, attack/defense #
33 # $ - marginal eye space containing an opponent stone #
34 # ( - marginal eye space and attack key point #
35 # ) - marginal eye space and defense key point #
47 # 3. Number of marginal vertices.
65 # marginal vertices are grouped together.
926 # Linear, no marginal vertices.
942 # Linear, one marginal vertex.
1087 # Linear, two marginal vertices.
[all …]
/dports/math/openturns/openturns-1.18/lib/src/Uncertainty/Algorithm/Sensitivity/
H A DSobolIndicesAlgorithmImplementation.cxx303 Distribution marginal(distribution.getMarginal(j)); in getFirstOrderIndicesInterval() local
304 lowerBound[j] = marginal.computeQuantile(0.5 * (1.0 - confidenceLevel_))[0]; in getFirstOrderIndicesInterval()
305 upperBound[j] = marginal.computeQuantile(0.5 * (1.0 + confidenceLevel_))[0]; in getFirstOrderIndicesInterval()
372 Distribution marginal(distribution.getMarginal(j)); in getTotalOrderIndicesInterval() local
373 lowerBound[j] = marginal.computeQuantile(0.5 * (1.0 - confidenceLevel_))[0]; in getTotalOrderIndicesInterval()
374 upperBound[j] = marginal.computeQuantile(0.5 * (1.0 + confidenceLevel_))[0]; in getTotalOrderIndicesInterval()
/dports/math/openturns/openturns-1.18/lib/test/
H A Dt_FORM_sensitivity.expout11 …marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=…
15 …marginal[0]=class=Normal name=Normal dimension=1 mean=class=Point name=Unnamed dimension=1 values=…
/dports/math/unuran/unuran-1.8.1/tests/
H A Dt_info.conf694 UNUR_DISTR *marginal = NULL;
711 marginal = unur_distr_gamma(gamma_params,1);
712 unur_distr_cvec_set_marginals(distr,marginal);
713 unur_distr_free(marginal);

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