cg-stats | Mean, covariance and counts for grouped data (statistics for... |
citest-array | Test for conditional independence in a contingency table |
citest-df | Test for conditional independence in a dataframe |
citest-generic | Generic function for conditional independence test |
citest-mvn | Test for conditional independence in the multivariate normal... |
citest-ordinal | A function to compute Monte Carlo and asymptotic tests of... |
cmod | Graphical Gaussian model |
coerce_models | Coerce models to different representations |
emat_operations | Edge matrix operations |
fast_cov | Fast computation of covariance / correlation matrix |
fit_ggm_grips | Fit Gaussian graphical models |
generate_models | Generate various grapical models |
generate_n01 | Genrate matrix of N(0, 1) variables |
getEdges | Find edges in a graph or edges not in an undirected graph. |
ggmfit | Iterative proportional fitting of graphical Gaussian model |
imodel-dmod | Discrete interaction model (log-linear model) |
imodel-general | General functions related to iModels |
imodel-info | Get information about mixed interaction model objects |
imodel-mmod | Mixed interaction model. |
impose_zero | Impose zeros in matrix entries which do not correspond to an... |
internal | Internal functions for the gRim package |
loglin-dim | Return the dimension of a log-linear model |
loglin-effloglin | Fitting Log-Linear Models by Message Passing |
modify_glist | Modify generating class for a graphical/hierarchical model |
parm-conversion | Conversion between different parametrizations of mixed models |
parse_gm_formula | Parse graphical model formula |
stepwise | Stepwise model selection in (graphical) interaction models |
testadd | Test addition of edge to graphical model |
testdelete | Test deletion of edge from an interaction model |
test-edges | Test edges in graphical models with p-value/AIC value |
utilities_grips | Utilities for gRips |
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