add_arcs | Add arcs to a Gaussian mixture graphical model |
add_nodes | Add nodes to a Gaussian mixture graphical model |
add_var | Add variables to a Gaussian mixture model |
aggregation | Aggregate particles to obtain inferred values |
AIC | Compute the Akaike Information Criterion (AIC) of a Gaussian... |
BIC | Compute the Bayesian Information Criterion (BIC) of a... |
conditional | Conditionalize a Gaussian mixture model |
data_air | Beijing air quality dataset |
data_body | NHANES body composition dataset |
density | Compute densities of a Gaussian mixture model |
ellipses | Display the mixture components of a Gaussian mixture model |
em | Estimate the parameters of a Gaussian mixture model |
expectation | Compute expectations of a Gaussian mixture model |
filtering | Perform filtering inference in a Gaussian mixture dynamic... |
gmbn | Create a Gaussian mixture Bayesian network |
gmbn_body | Gaussian mixture Bayesian network learned from the NHANES... |
gmdbn | Create a Gaussian mixture dynamic Bayesian network |
gmdbn_air | Gaussian mixture dynamic Bayesian network learned from the... |
gmgm-package | Gaussian mixture graphical model learning and inference |
gmm | Create a Gaussian mixture model |
gmm_body | Gaussian mixture model learned from the NHANES body... |
inference | Perform inference in a Gaussian mixture Bayesian network |
logLik | Compute the log-likelihood of a Gaussian mixture model or... |
merge_comp | Merge mixture components of a Gaussian mixture model |
network | Display the graphical structure of a Gaussian mixture... |
param_em | Learn the parameters of a Gaussian mixture graphical model... |
param_learn | Learn the parameters of a Gaussian mixture graphical model |
particles | Initialize particles to perform inference in a Gaussian... |
prediction | Perform predictive inference in a Gaussian mixture dynamic... |
propagation | Propagate particles forward in time |
relevant | Extract the minimal sub-Gaussian mixture graphical model... |
remove_arcs | Remove arcs from a Gaussian mixture graphical model |
remove_nodes | Remove nodes from a Gaussian mixture graphical model |
remove_var | Remove variables from a Gaussian mixture model |
rename_nodes | Rename nodes of a Gaussian mixture graphical model |
rename_var | Rename variables of a Gaussian mixture model |
reorder | Reorder the variables and the mixture components of a... |
sampling | Sample a Gaussian mixture model |
smem | Select the number of mixture components and estimate the... |
smoothing | Perform smoothing inference in a Gaussian mixture dynamic... |
split_comp | Split a mixture component of a Gaussian mixture model |
stepwise | Select the explanatory variables, the number of mixture... |
struct_em | Learn the structure and the parameters of a Gaussian mixture... |
struct_learn | Learn the structure and the parameters of a Gaussian mixture... |
structure | Provide the graphical structure of a Gaussian mixture... |
summary | Summarize a Gaussian mixture model or graphical model |
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