%>% |
Internal functions for the gRim package |
backward |
Stepwise model selection in (graphical) interaction models |
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. |
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 |
effloglin |
Fitting Log-Linear Models by Message Passing |
extractAIC.iModel |
General functions related to iModels |
extract_cmod_data |
Graphical Gaussian model |
fitted.dModel |
Discrete interaction model (log-linear model) |
formula.iModel |
General functions related to iModels |
forward |
Stepwise model selection in (graphical) interaction models |
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 |
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. |
internal |
Internal functions for the gRim package |
isDecomposable.dModel |
General functions related to iModels |
isGraphical.dModel |
General functions related to iModels |
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 |
mmod |
Mixed interaction model. |
mmod_dimension |
Mixed interaction model. |
modelProperties |
General functions related to iModels |
modelProperties.dModel |
General functions related to iModels |
modify_glist |
Modify generating class for a graphical/hierarchical model |
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.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 |
residuals.dModel |
Discrete interaction model (log-linear model) |
stepwise |
Stepwise model selection in (graphical) interaction models |
stepwise.iModel |
Stepwise model selection in (graphical) interaction models |
summary.iModel |
General functions related to iModels |
summary.mModel |
Mixed interaction model. |
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 |
triangulate.dModel |
Discrete interaction model (log-linear model) |