
invGauss
 Referenced in 128 articles
[sw11207]
 that fits the (randomized drift) inverse Gaussian distribution to survival data. invGauss fits the (randomized ... drift) inverse Gaussian distribution to survival data. The model is described in Aalen OO, Borgan ... barrier has been randomized with a Gaussian distribution. The model allows covariates to influence starting...

RINLA
 Referenced in 86 articles
[sw08014]
 latent field can have a nearGaussian distribution. The proposed methodology is an essential component ... user to add flexibility and challenge the Gaussian assumptions of some of the model components...

ghyp
 Referenced in 26 articles
[sw08162]
 Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance ... Gamma (VG), skewed Studentt and Gaussian distribution). Especially, it contains fitting procedures ... addition, it contains the Generalized Inverse Gaussian distribution...

MixSim
 Referenced in 35 articles
[sw07914]
 Algorithms. MixSim allows simulating mixtures of Gaussian distributions with different levels of overlap between mixture ... there are computing the exact overlap for Gaussian mixtures, simulating Gaussian and nonGaussian data ... agreement between two partitionings, and constructing parallel distribution plots for the graphical display of finite...

hgm R
 Referenced in 21 articles
[sw08770]
 example, the normalizing constant of the Gaussian distribution is expressed in terms of a rational...

tmg
 Referenced in 18 articles
[sw39813]
 Carlo algorithm to sample from multivariate Gaussian distributions in which the target space is constrained ... covariance matrices of the untruncated Gaussian to further speed up the runtime. A simple extension ... algorithm permits sampling from distributions whose logdensity is piecewise quadratic, as in the ”Bayesian...

Krylstat
 Referenced in 18 articles
[sw13558]
 facilitate sampling from high dimensional Gaussian distributions using rational approximations and Krylov methods and computing...

ig
 Referenced in 8 articles
[sw07988]
 General Class of Inverse Gaussian Distributions. The inverse Gaussian distribution is a positively skewed probability ... that generalizes this model called inverse Gaussian type distributions has been developed ... designed to analyze data from inverse Gaussian type distributions. This package contains basic probabilistic functions ... results related to the inverse Gaussian type distribution are also obtained. Moreover, a simulation study...

otrimle
 Referenced in 13 articles
[sw17889]
 modelled by a mixture of Gaussian distributions and a noise component, which is an improper...

EMCluster
 Referenced in 6 articles
[sw24496]
 ModelBased Clustering of Finite Mixture Gaussian Distribution. EM algorithms and several efficient initialization methods ... modelbased clustering of finite mixture Gaussian distribution with unstructured dispersion in both of unsupervised...

GenOrd
 Referenced in 13 articles
[sw14628]
 with Given Correlation Matrix and Marginal Distributions. A gaussian copula based procedure for generating samples ... variables with prescribed correlation matrix and marginal distributions...

GHICA
 Referenced in 8 articles
[sw25996]
 GHICA  Risk analysis with GH distributions and independent components. Over recent years, a study ... either calculate risk measures under the Gaussian distributional assumption or involve numerical difficulty. The primary...

haarfisz
 Referenced in 17 articles
[sw11198]
 constant local variance of a locally stationary Gaussian time series. We apply our technique ... data and bringing their distribution close to Gaussianity...

GeneralizedHyperbolic
 Referenced in 4 articles
[sw11602]
 generalized hyperbolic distribution, the generalized inverse Gaussian distribution and the skewLaplace distribution. Additional functionality ... hyperbolic distribution, normal inverse Gaussian distribution and generalized inverse Gaussian distribution, including fitting of these...

bfa
 Referenced in 25 articles
[sw07430]
 exponential family. However, when generalizing to nonGaussian measured variables, the latent variables typically influence ... structure and the form of the marginal distributions, complicating interpretation and introducing artifacts. To address ... Bayesian Gaussian copula factor models that decouple the latent factors from the marginal distributions...

bayesmix
 Referenced in 7 articles
[sw23613]
 finite mixture models of univariate Gaussian distributions using JAGS within a Bayesian framework is provided...

FABIA
 Referenced in 11 articles
[sw23382]
 multiplicative model that assumes realistic nonGaussian signal distributions with heavy tails. FABIA utilizes well...

HTK
 Referenced in 15 articles
[sw07937]
 using both continuous density mixture Gaussians and discrete distributions and can be used to build...

bigGP
 Referenced in 4 articles
[sw23850]
 package bigGP: Distributed Gaussian Process Calculations. Distributes Gaussian process calculations across nodes in a distributed...

glmmAK
 Referenced in 26 articles
[sw13218]
 Poisson regression model with random effects whose distribution is specified as a penalized normal mixture ... model with a penalized Gaussian mixture as a randomeffects distribution. Computational Statistics and Data...