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