| build_coef_data | build_coef_data creates a data set with random coefficients... |
| build_dataset | Generate a multilevel long-form data frame |
| build_person_data | build_person_data is a function to create level 2 data. |
| build_theta_j | Sema unit list |
| compute_c_inv | compute_c_inv computes the uncertainty of the random effects... |
| compute_fixed_coef | compute_fixed_coef computes the coefficients of the fixed... |
| compute_random_coef | compute_random_coef computes the random effects: intercepts... |
| compute_random_var | compute_random_var computes the variance of the random... |
| compute_resid_var | compute_resid_var computes the residual variance. |
| compute_t1_j | compute_t1_j computes the individual contribution to the... |
| compute_t2_j | compute_t2_j computes the individual contribution to the... |
| compute_t3_j | compute_t3_j computes the individual contribution to the... |
| create_theta_main | Sema model list |
| emAlgorithm | Fit Multilevel model with EM |
| fixef | Extract the fixed effects coefficients. |
| get_theta | get model statistics from Sema object |
| get_theta_j | get unit statistics from Sema object |
| is.sema | sema output |
| old_sema_fit_set | Fit multilevel models in a data stream II |
| online_e_step | online_e_step includes the latter three functions, for short... |
| predict | SEMA predict function |
| ranef | Extract the random effects coefficients. |
| sema_fit_df | Fit multilevel models in a data stream III |
| sema_fit_one | Fit multilevel models in a data stream I |
| sema_fit_set | Fit multilevel models in a data stream II |
| SEMA-package | Streaming EM Approximation algorithm-multilevel model: fixed... |
| sema_update | Update all contributions to Complete Data Sufficient... |
| store_fixed_coef | Store fixed effects coefficients |
| store_random_var | Store the variance of the random effects |
| store_resid_var | store residual variance |
| summary_sema | Interpreting sema output |
| try_solve | Test whether matrix is invertible |
| try_theta | try_theta is a function which creates the model parameters... |
| try_theta_j | try_theta_j is a function which creates the unit parameters... |
| update_average | In this file all the functions needed by the SEMA algorithm... |
| update_id | update_id is the online update of all unit level objects... |
| update_product | update_product is the online update of a matrix product.... |
| update_x_inv | update_x_inv is the online update function of the inverse... |
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