A B C D E F G I L M O P R S T U misc
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 |
backward | Stepwise model selection in (graphical) interaction models |
BIC.gips_fit_class | Utilities for gRips |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
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 |
order_rows | Edge matrix operations |
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 |
residuals.dModel | Discrete interaction model (log-linear model) |
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. |
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 |
utilities_grips | Utilities for gRips |
%>% | Internal functions for the gRim package |