| build_blocklist | build list of time blocks that are correlated based on the... |
| build_exchangeable_matrix | Build an exchangeable matrix of sparseMatrix class |
| build_phi_matrix | Build intermediate C(phi,n) matrix in inversion of... |
| calculate_matrix_params | calculate parameter estimates for different types of... |
| calculate_parameter_inverse | Invert matrix parameters based on inputs. |
| coef.lmnet | Coef S3 generic for class lmnet |
| combine | Find all possible combinations of elements in two vectors, or... |
| dyad | Dyad map from nodes i,j -> dyad d |
| eigen_exch | Eigenvalues of exchangeable matrices if calcall == TRUE, then... |
| eigen_exch_time | Compute eigenvalues of covariance matrices of jointly... |
| GEE.est | Perform GEE estimate / IRWLS of coefficients |
| GEE_est_time | Perform GEE estimate / IRWLS of coefficients for temporal... |
| inputs_lmnet | Input preprocessing |
| interactions | Social interaction data set |
| invert_exchangeable_matrix | Invert an exchangeable matrix |
| lmnet | Linear regression for network response |
| make.positive.var | Replace negative eigenvalues with zeros in variance matrix |
| mat.net | Matricize a network vector (without diagonal) |
| meatABC | Matrix product of A^TBC where B is a short list of parameters... |
| meat.DC.row | Calculate DC meat using rows of X, e |
| meat.E.row | Calculate E meat using rows of X, e |
| model.matrix.lmnet | model.matrix S3 generic for class lmnet |
| node.gen | Generate node pairs for complete network |
| node_gen_time | Make complete node indices for temporal relational data |
| node_preprocess | Pre-processes data for ordering etc. |
| node_preprocess_time | Pre-processes data for ordering, FOR TEMPORAL DATA, etc. |
| node.set | Generate node sets of various overlapping dyad pairs |
| param_est | Calculate parameter estimates using rows of e |
| param_est_single_ilist | Given matrix of time blocks and a particular exchangeable... |
| plot.lmnet | Plot S3 generic for class lmnet |
| print.lmnet | Print S3 generic for class lmnet |
| print.summary.lmnet | Print S3 generic for class summary.lmnet |
| print.summary.vnet | Print S3 generic for summary.vnet object |
| print.vnet | Print S3 generic for vnet object |
| row_list_missing | Generate row list based on nodes input with missingness |
| row_list_time | Make row list for complete temporal relational data |
| rphi | Generate positive definite phi set |
| Sigma.ind | Generate list indicator matrix of overlapping dyads |
| summary.lmnet | Summary S3 generic for class lmnet |
| summary.vnet | Summary S3 generic for vnet object |
| symm_square_root | Compute symmetric square root of A, assuming it is real,... |
| vcov.lmnet | vcov S3 generic for class lmnet |
| vec.net | Vectorize a network matrix (without diagonal) |
| vnet | Variance computation for linear regression of network... |
| wolf | Wolf network data set |
