Gaussian Model Invariant by Permutation Symmetry


[Up] [Top]

Documentation for package ‘gips’ version 1.2.1

Help Pages

AIC.gips Akaike's An Information Criterion for 'gips' class
as.character.gips Transform the 'gips' object to a character vector
as.character.gips_perm Transform the 'gips_perm' object to a character vector
BIC.gips Akaike's An Information Criterion for 'gips' class
calculate_gamma_function Calculate Gamma function
compare_log_posteriories_of_perms Compare the posteriori probabilities of 2 permutations
compare_posteriories_of_perms Compare the posteriori probabilities of 2 permutations
find_MAP Find the Maximum A Posteriori Estimation
forget_perms Forget the permutations for 'gips' object optimized with 'save_all_perms = TRUE'
get_probabilities_from_gips Extract probabilities for 'gips' object optimized with 'return_probabilities = TRUE'
get_structure_constants Get Structure Constants
gips The constructor of a 'gips' class.
gips_perm Permutation object
logLik.gips Extract the Log-Likelihood for 'gips' class
log_posteriori_of_gips A log of a posteriori that the covariance matrix is invariant under permutation
new_gips The constructor of a 'gips' class.
new_gips_perm Permutation object
plot.gips Plot optimized matrix or optimization 'gips' object
prepare_orthogonal_matrix Prepare orthogonal matrix
print.gips Printing 'gips' object
print.gips_perm Printing 'gips_perm' object
print.summary.gips Summarizing the gips object
project_matrix Project matrix after optimization
summary.gips Summarizing the gips object
validate_gips The constructor of a 'gips' class.
validate_gips_perm Permutation object