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