Man pages for L-Ippel/SEMA
Streaming Expectation Maximization Approximation

build_coef_databuild_coef_data creates a data set with random coefficients...
build_datasetGenerate a multilevel long-form data frame
build_person_databuild_person_data is a function to create level 2 data.
build_theta_jSema unit list
compute_c_invcompute_c_inv computes the uncertainty of the random effects...
compute_fixed_coefcompute_fixed_coef computes the coefficients of the fixed...
compute_random_coefcompute_random_coef computes the random effects: intercepts...
compute_random_varcompute_random_var computes the variance of the random...
compute_resid_varcompute_resid_var computes the residual variance.
compute_t1_jcompute_t1_j computes the individual contribution to the...
compute_t2_jcompute_t2_j computes the individual contribution to the...
compute_t3_jcompute_t3_j computes the individual contribution to the...
create_theta_mainSema model list
emAlgorithmFit Multilevel model with EM
fixefExtract the fixed effects coefficients.
get_thetaget model statistics from Sema object
get_theta_jget unit statistics from Sema object
is.semasema output
old_sema_fit_setFit multilevel models in a data stream II
online_e_steponline_e_step includes the latter three functions, for short...
predictSEMA predict function
ranefExtract the random effects coefficients.
sema_fit_dfFit multilevel models in a data stream III
sema_fit_oneFit multilevel models in a data stream I
sema_fit_setFit multilevel models in a data stream II
SEMA-packageStreaming EM Approximation algorithm-multilevel model: fixed...
sema_updateUpdate all contributions to Complete Data Sufficient...
store_fixed_coefStore fixed effects coefficients
store_random_varStore the variance of the random effects
store_resid_varstore residual variance
summary_semaInterpreting sema output
try_solveTest whether matrix is invertible
try_thetatry_theta is a function which creates the model parameters...
try_theta_jtry_theta_j is a function which creates the unit parameters...
update_averageIn this file all the functions needed by the SEMA algorithm...
update_idupdate_id is the online update of all unit level objects...
update_productupdate_product is the online update of a matrix product....
update_x_invupdate_x_inv is the online update function of the inverse...
L-Ippel/SEMA documentation built on May 30, 2019, 8:23 a.m.