R: NETwork COMparison Inference

# NETwork COMparison Inference

## Documentation for package ‘netcom’ version 2.1.7

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

align | Network Alignment
best_fit_optim | Empirical parameterization
classify | Mechanistic Network Classification
classify_Systematic | Mechanistic Network Classification
compare | Compare Networks Many-to-Many
compare_Target | Compare Networks One-to-Many
gini | Gini coefficient
grow_DD | Grow a Duplication and Divergence Network
grow_DM | Grow a Duplication and Mutation Network
grow_ER | Grow an Erdos-Renyi Random Network
grow_NM | Grow a Niche Model Network
grow_PA | Grow a Preferential Attachment Network
grow_SW | Grow a Small-World Network
ics | Induced Conserved Structure (ICS)
make_DD | Makes a Duplication and Divergence Network
make_DM | Make a Duplication and Mutation Network
make_Mixture | Make a Mixture Mechanism Network
make_NM | Make a Niche Model network
make_Null | Mechanism Null Distributions
make_Null_canonical | Mechanism Null Distributions
make_Null_mixture | Mechanism Null Distributions
make_SW | Makes a Small-World Network
make_Systematic | Systematically Make Networks
make_Systematic_canonical | Systematically Make Networks
make_Systematic_directedCanonicalLike | Systematically Make Networks
make_Systematic_mixture | Systematically Make Networks
null_fit_optim | Empirical parameterization via null distributions
stir_DD | Sitrs a Duplication and Divergence Network
stir_DM | Stirs a Duplication and Mutation Network
stir_ER | Stir an Erdos-Renyi Random Network
stir_NM | Stirs a Niche Model Network
stir_PA | Stirs a Preferential Attachment Network
stir_SW | Stirs a Small-World Network