Model BIC Posterior Probability

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Documentation for package ‘modelbpp’ version 0.1.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

c.model_set	Manipulate Parameter Tables
c.partables	Manipulate Parameter Tables
dat_cfa	A Sample Dataset Based On a Confirmatory Factor Analysis Model (For Testing)
dat_path_model	A Sample Dataset Based on a Path Model (For Testing)
dat_path_model_p06	A Sample Dataset Based On a Complex Path Model (For Testing)
dat_sem	A Sample Dataset Based On a Structural Model (For Testing)
dat_serial_4	A Sample Dataset Based On a Serial Mediation Model (For Testing)
dat_serial_4_weak	A Sample Dataset Based On a Serial Mediation Model With Weak Paths (For Testing)
fit_many	Fit a List of Models
gen_models	BIC Posterior Probabilities of Neighboring Models
get_add	Models That Are Less Restricted
get_drop	Models That Are More Restricted
get_partables	Helper Functions For 'partables'-Class Objects
identical_partables	Helper Functions For 'partables'-Class Objects
is_partable	Helper Functions For 'partables'-Class Objects
manipulate_partables	Manipulate Parameter Tables
measurement_invariance_models	Measurement Invariance Models
min_prior	Minimum Prior
model_graph	Generate a Graph of Models
model_set	BIC Posterior Probabilities of Neighboring Models
partables_drop	Manipulate Parameter Tables
partables_helpers	Helper Functions For 'partables'-Class Objects
plot.model_graph	Plot a Network of Models
print.model_set	Print a 'model_set'-Class Object
print.partables	Print a 'partables'-Class Object
print.sem_outs	Print an 'sem_outs'-Class Object
same_variables	Helper Functions For 'partables'-Class Objects
to_partables	Helper Functions For 'partables'-Class Objects