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