• tmg

  • Referenced in 18 articles [sw39813]
  • Monte Carlo algorithm to sample from multivariate Gaussian distributions in which the target space...
  • gss

  • Referenced in 293 articles [sw06099]
  • regression with Gaussian and non-Gaussian responses as well as with censored life time data ... penalized likelihood method and the construction of multivariate models with built-in ANOVA decompositions. Extensive ... PLUS language. Code for regression has been distributed in the R package gss freely available...
  • MCMC

  • Referenced in 8 articles [sw03488]
  • Metropolis-Hastings MCMC chain using multivariate Gaussian proposal distribution. The covariance matrix of the proposal...
  • ghyp

  • Referenced in 26 articles [sw08162]
  • multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance...
  • DSSIM-HR

  • Referenced in 4 articles [sw31913]
  • transformed to follow a Gaussian distribution and the entire multivariate distribution is then assumed...
  • PaDiM

  • Referenced in 1 article [sw41239]
  • present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies ... patch embedding, and of multivariate Gaussian distributions to get a probabilistic representation of the normal...
  • GaussianMixtures

  • Referenced in 2 articles [sw32979]
  • Models (GMMs). This package contains support for Gaussian Mixture Models. Basic training, likelihood calculation, model ... deals only with normal (multivariate) distributions (a.k.a Gaussians), but it does so more efficiently, hopefully...
  • BPEC

  • Referenced in 1 article [sw21018]
  • migrations occur. Within each cluster, a multivariate Gaussian distribution of the covariates (geographical, environmental, phenotypic...
  • COMA

  • Referenced in 1 article [sw36369]
  • diverse realistic 3D faces from a multivariate Gaussian distribution. Our training data consists...
  • GPflux

  • Referenced in 1 article [sw38081]
  • subtleties that arise when dealing with multivariate Gaussian distributions and the complex bookkeeping of indices...
  • longclust

  • Referenced in 2 articles [sw20487]
  • based on a mixture of multivariate t or Gaussian distributions with a Cholesky-decomposed covariance...
  • goft

  • Referenced in 4 articles [sw32717]
  • gamma, inverse Gaussian, log-normal, ’Weibull’, ’Frechet’, Gumbel, normal, multivariate normal, Cauchy, Laplace or double ... exponential, exponential and generalized Pareto distributions. Parameter estimators for gamma, inverse Gaussian and generalized Pareto...
  • CARBayes

  • Referenced in 14 articles [sw15288]
  • Data. Implements a class of univariate and multivariate spatial generalised linear mixed models for areal ... simulation. The response variable can be binomial, Gaussian or Poisson. Spatial autocorrelation is modelled ... assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available ... random effects, including a multivariate CAR (MCAR) model for multivariate spatial data. Full details...
  • parfm

  • Referenced in 12 articles [sw19053]
  • gamma, inverse Gaussian, and positive stable frailty distributions can be specified, together with five different ... left-truncated data. In the multivariate setting, the inverse Gaussian may encounter numerical difficulties with...
  • bfa

  • Referenced in 25 articles [sw07430]
  • widely useful for parsimoniously characterizing dependence in multivariate data. There is rich literature on their ... mixed categorical and continuous variables, using latent Gaussian variables or through generalized latent trait models ... exponential family. However, when generalizing to non-Gaussian measured variables, the latent variables typically influence ... structure and the form of the marginal distributions, complicating interpretation and introducing artifacts. To address...
  • sbgcop

  • Referenced in 5 articles [sw11945]
  • estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters ... provides a semiparametric imputation procedure for missing multivariate data...
  • lg

  • Referenced in 2 articles [sw32322]
  • locally Gaussian distributions. It provides methods for implementing locally Gaussian multivariate density estimation, conditional density...
  • GHICA

  • Referenced in 8 articles [sw25996]
  • either calculate risk measures under the Gaussian distributional assumption or involve numerical difficulty. The primary ... method, GHICA, which overcomes the limitations in multivariate risk analysis. The idea is to first...
  • FastGP

  • Referenced in 2 articles [sw21250]
  • from multivariate normal distributions, evaluation of the log-density of a multivariate normal vector ... Bayesian inference for latent variable Gaussian process models with elliptical slice sampling (Murray, Adams...
  • bmgarch

  • Referenced in 1 article [sw39770]
  • based either on a multivariate gaussian normal or student-t distribution. DCC and CCC models...