Graphical Interaction Models


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Documentation for package ‘gRim’ version 0.3.3

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A B C D E F G I L M O P R S T U misc

-- A --

AIC.gips_fit_class Utilities for gRips
as_amat2emat Coerce models to different representations
as_elist2emat Coerce models to different representations
as_emat2amat Coerce models to different representations
as_emat2cq Coerce models to different representations
as_emat2elist Coerce models to different representations
as_emat2glist Coerce models to different representations
as_emat2graph Coerce models to different representations
as_emat2igraph Coerce models to different representations
as_emat_complement Coerce models to different representations
as_glist2cq Coerce models to different representations
as_glist2emat Coerce models to different representations
as_glist2graph Coerce models to different representations
as_glist2igraph Coerce models to different representations
as_glist2out_edges Coerce models to different representations
as_K2amat Coerce models to different representations
as_K2graph Coerce models to different representations
as_sparse Coerce models to different representations

-- B --

backward Stepwise model selection in (graphical) interaction models
BIC.gips_fit_class Utilities for gRips

-- C --

cg-stats Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).
CGstats Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).
CGstats.data.frame Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).
ciTest Generic function for conditional independence test
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 distribution
citest-ordinal A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables.
ciTest_df Test for conditional independence in a dataframe
ciTest_mvn Test for conditional independence in the multivariate normal distribution
ciTest_ordinal A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables.
ciTest_table Test for conditional independence in a contingency table
cmod Graphical Gaussian model
coef.mModel Mixed interaction model.
coefficients.mModel Mixed interaction model.
coerce_models Coerce models to different representations
concentration Utilities for gRips
concentration.gips_fit_class Utilities for gRips

-- D --

dim_loglin Return the dimension of a log-linear model
dim_loglin_decomp Return the dimension of a log-linear model
dmod Discrete interaction model (log-linear model)
drop_func Stepwise model selection in (graphical) interaction models

-- E --

effloglin Fitting Log-Linear Models by Message Passing
emat_compare Edge matrix operations
emat_complement Edge matrix operations
emat_operations Edge matrix operations
emat_saturated_model Generate various grapical models
emat_sort Edge matrix operations
extractAIC.iModel General functions related to iModels
extract_cmod_data Graphical Gaussian model

-- F --

fast_cov Fast computation of covariance / correlation matrix
fitted.dModel Discrete interaction model (log-linear model)
fit_ggm_grips Fit Gaussian graphical models
formula.iModel General functions related to iModels
forward Stepwise model selection in (graphical) interaction models

-- G --

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.
getEdges.graphNEL Find edges in a graph or edges not in an undirected graph.
getEdges.list Find edges in a graph or edges not in an undirected graph.
getEdges.matrix Find edges in a graph or edges not in an undirected graph.
getEdgesMAT Find edges in a graph or edges not in an undirected graph.
getInEdges Find edges in a graph or edges not in an undirected graph.
getInEdgesMAT Find edges in a graph or edges not in an undirected graph.
getmi Get information about mixed interaction model objects
getOutEdges Find edges in a graph or edges not in an undirected graph.
getOutEdgesMAT Find edges in a graph or edges not in an undirected graph.
ggmfit Iterative proportional fitting of graphical Gaussian model
ggmfitr Iterative proportional fitting of graphical Gaussian model
glance.gips_fit_class Utilities for gRips

-- I --

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 edge.
internal Internal functions for the gRim package
isDecomposable.dModel General functions related to iModels
isGraphical.dModel General functions related to iModels

-- L --

logLik.gips_fit_class Utilities for gRips
logLik.iModel General functions related to iModels
loglin-dim Return the dimension of a log-linear model
loglin-effloglin Fitting Log-Linear Models by Message Passing

-- M --

mmod Mixed interaction model.
mmod_dimension Mixed interaction model.
modelProperties General functions related to iModels
modelProperties.dModel General functions related to iModels
model_line Generate various grapical models
model_loop Generate various grapical models
model_random Generate various grapical models
model_random_tree Generate various grapical models
model_rectangular_grid Generate various grapical models
model_saturated Generate various grapical models
model_star Generate various grapical models
modify_glist Modify generating class for a graphical/hierarchical model

-- O --

order_rows Edge matrix operations

-- P --

parm-conversion Conversion between different parametrizations of mixed models
parm_CGstats2mmod Conversion between different parametrizations of mixed models
parm_ghk2phk Conversion between different parametrizations of mixed models
parm_ghk2pms Conversion between different parametrizations of mixed models
parm_moment2pms Conversion between different parametrizations of mixed models
parm_phk2ghk Conversion between different parametrizations of mixed models
parm_phk2pms Conversion between different parametrizations of mixed models
parm_pms2ghk Conversion between different parametrizations of mixed models
parm_pms2phk Conversion between different parametrizations of mixed models
parse_gm_formula Parse graphical model formula
print.dModel Discrete interaction model (log-linear model)
print.gips_fit_class Utilities for gRips
print.iModelsummary General functions related to iModels
print.mModel Mixed interaction model.
print.testadd Test addition of edge to graphical model
print.testdelete Test deletion of edge from an interaction model

-- R --

residuals.dModel Discrete interaction model (log-linear model)

-- S --

sigma.gips_fit_class Utilities for gRips
stepwise Stepwise model selection in (graphical) interaction models
stepwise.iModel Stepwise model selection in (graphical) interaction models
summary.gips_fit_class Utilities for gRips
summary.iModel General functions related to iModels
summary.mModel Mixed interaction model.

-- T --

terms.iModel General functions related to iModels
test-edges Test edges in graphical models with p-value/AIC value
testadd Test addition of edge to graphical model
testadd.iModel Test addition of edge to graphical model
testadd.mModel Test addition of edge to graphical model
testdelete Test deletion of edge from an interaction model
testdelete.iModel Test deletion of edge from an interaction model
testdelete.mModel Test deletion of edge from an interaction model
testEdges Test edges in graphical models with p-value/AIC value
testInEdges Test edges in graphical models with p-value/AIC value
testOutEdges Test edges in graphical models with p-value/AIC value

-- U --

utilities_grips Utilities for gRips

-- misc --

%>% Internal functions for the gRim package