Handle prior.eps argument of GLMM_MCMC function
B-spline basis
Marginal (univariate) densities: plug-in estimate
Univariate conditional predictive density
Wrapper to the NMixMCMC main simulation.
Dirichlet distribution
Univariate conditional densities: plug-in estimate
Pairwise bivariate predictive density
Subset of Mayo Clinic Primary Biliary Cirrhosis data
Data manipulation for the GLMM_MCMC function
Clustering based on the MCMC output of the mixture model
Handle scale.b argument of GLMM_MCMC function
Conversion of a symmetric matrix stored in a packed format (lower triangle only) into a matrix
Discriminant analysis based on plug-in estimates from the mixture model
Enzymatic activity in the blood
Pairwise bivariate conditional densities: plug-in estimate
Handle init.alpha or init2.alpha argument of GLMM_MCMC function
Sample a pair (with replacement)
Best linear approximation with respect to the mean square error
(theoretical linear regression).
Initial component allocations for the NMixMCMC function
Mayo Clinic Primary Biliary Cirrhosis, sequential data
Plot computed marginal predictive densities
Summary for the mixture components
Automatic layout for several plots in one figure
Plot computed marginal pairwise bivariate predictive densities
Initial (RE)ML fits for the GLMM_MCMC function
Posterior summary statistics for a difference of two quantities
Wishart distribution
MCMC estimation of a (multivariate) generalized linear mixed model
with a normal mixture in the distribution of random effects
Create MCMC chains derived from previously sampled values
Simulated dataset
Pairwise bivariate conditional predictive densities
Random rotation matrix
Plot computed univariate conditional predictive cumulative
distribution functions
Plot individual longitudinal profiles
plot.NMixPlugCondDensJoint2
Plot computed pairwise bivariate conditional densities
(plug-in estimate)
Multivariate Student t distribution
Traceplots for selected parameters
Square root of a matrix
Re-labeling the MCMC output of the mixture model
Discriminant analysis based on MCMC output from the mixture model
Plot a function together with its confidence/credible bands
Signal Tandmobiel data
Transform fitted distribution of Y=trans(T) into distribution of T
plot.NMixPlugCondDensMarg
Plot computed univariate conditional densities (plug-in estimate)
Plot computed marginal predictive cumulative distribution functions
Plot computed marginal pairwise bivariate densities (plug-in estimate)
Acidity index of lakes in North-Central Wisconsin
Handle init.b or init2.b argument of GLMM_MCMC function
Discriminant analysis for longitudinal profiles based on fitted GLMM's
Chains for mixture parameters
MCMC estimation of (multivariate) normal mixtures with possibly
censored data.
Argument manipulation for the NMixRelabel functions
Fitted profiles in the GLMM model
Plot computed marginal predictive densities
plot.NMixPredCondDensJoint2
Plot computed predictive pairwise bivariate conditional densities
Individual longitudinal profiles of a given variable
Multivariate normal distribution
Mixture of (multivariate) normal distributions
Marginal (univariate) predictive cumulative distribution function
Moore-Penrose pseudoinverse of a squared matrix
Pairwise bivariate densities: plug-in estimate
Handle prior.alpha argument of GLMM_MCMC function
Data manipulation for the NMixMCMC function
EM algorithm for a homoscedastic normal mixture
Truncated normal distribution
Initial values of censored observations for the NMixMCMC function
Wrapper to the GLMM_MCMC main simulation.
Truncated multivariate normal distribution
Signal Tandmobiel data - emergence times
Handle prior.eps argument of GLMM_MCMC function
Handle init.eps or init2.eps argument of GLMM_MCMC function
Velocities of distant galaxies
Old Faithful Geyser Data
Univariate conditional predictive cumulative distribution function
Marginal (univariate) predictive density
Pseudo goodness-of-fit test for a normal mixture model
plot.NMixPredCondDensMarg
Plot computed univariate conditional predictive densities
Generate all permutations of (1, ..., K)