• huge

  • Referenced in 44 articles [sw08466]
  • functions for fitting high dimensional semiparametric Gaussian copula models; (3) more functions like data-dependent...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • package gcmr: Gaussian copula marginal regression. This paper identifies and develops the class of Gaussian...
  • bfa

  • Referenced in 25 articles [sw07430]
  • package bfa Bayesian Gaussian copula factor models for mixed data. Gaussian factor models have proven ... propose a novel class of Bayesian Gaussian copula factor models that decouple the latent factors...
  • GenOrd

  • Referenced in 13 articles [sw14628]
  • Correlation Matrix and Marginal Distributions. A gaussian copula based procedure for generating samples from discrete...
  • sbgcop

  • Referenced in 5 articles [sw11945]
  • package sbgcop: Semiparametric Bayesian Gaussian copula estimation and imputation. This package estimates parameters ... Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff...
  • gcimputeR

  • Referenced in 2 articles [sw41460]
  • implemention to fit a full rank Gaussian copula model [1] or low rank Gaussian copula...
  • mdgc

  • Referenced in 2 articles [sw41458]
  • mdgc: Missing Data Imputation Using Gaussian Copulas. Provides functions to impute missing values using Gaussian...
  • GMCM

  • Referenced in 2 articles [sw24057]
  • Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models. so-called Gaussian mixture copula...
  • latentcor

  • Referenced in 2 articles [sw39917]
  • estimation is based on latent copula Gaussian models. For continuous/binary types...
  • GJRM

  • Referenced in 9 articles [sw23082]
  • Gaussian and non-Gaussian dependencies through the use of copulae, and for the association...
  • mvdens

  • Referenced in 1 article [sw22349]
  • kernel density estimation, Gaussian mixtures, vine copulas and Gaussian process regression; and we test whether ... accurate, whereas in higher dimensionality Gaussian mixtures or vine copulas perform better. We show that...
  • transCCA

  • Referenced in 1 article [sw38361]
  • variables and works for all elliptical copulas. This is in contrast to permutation tests which ... generated from a distribution with a Gaussian copula. This method’s practical utility is shown...
  • gcimpute

  • Referenced in 1 article [sw41457]
  • modeling data as samples from a Gaussian copula model. This semiparametric model learns the marginal ... interactions between variables with a joint Gaussian that enables fast inference, imputation with confidence intervals...
  • bigsimr

  • Referenced in 1 article [sw40526]
  • correlation and arbitrary marginal distributions via Gaussian copula. It utilizes a Julia package named ’Bigsimr.jl...
  • mixedCCA

  • Referenced in 1 article [sw39918]
  • latent correlation under the Gaussian copula model. The methods are described in Yoon, Carroll...
  • Bigsimr.jl

  • Referenced in 1 article [sw40527]
  • correlation and arbitrary marginal distributions via Gaussian copula. Bigsimr works with any univariate distribution implemented...
  • bootComb

  • Referenced in 1 article [sw41191]
  • combined parameter with the desired coverage. Gaussian copulas are used for when parameters are assumed...
  • gcKrig

  • Referenced in 0 articles [sw18000]
  • Interpolate Geostatistical Count Data using Gaussian Copula. Provides a variety of functions to analyze ... model geostatistical count data with Gaussian copulas, including 1) data simulation and visualization; 2) correlation...
  • REndo

  • Referenced in 0 articles [sw17790]
  • joint estimation method that uses Gaussian copula and Kim and Frees’s (2007) multilevel generalized...
  • NCSCopula

  • Referenced in 1 article [sw32420]
  • central squared Gaussian, Student, Clayton, Gumbel, and Frank copula models.The description of the methodology...