|
LDA_set_control_cv()
|
Create control list for set of LDA models |
|
LDA_set_user_seeds()
|
Run a set of Latent Dirichlet Allocation models with user-specified seed |
|
changepoint_dissimilarity()
|
Change in community composition across changepoints |
|
find_modal_cpts()
|
Find modal combined location of changepoints |
|
fit_ldats_crossval()
|
Run LDATs on a dataset using crossvalidation |
|
fit_means_lda()
|
Make a toy LDA with species means |
|
fit_multiple_ldats_crossval()
|
Fit multiple LDATS crossval models |
|
get_abund_probabilities()
|
Get abundance probabilities |
|
get_one_test_loglik()
|
Get test row logliklihood (for one draw) |
|
get_plants_annual()
|
Get Portal plants |
|
get_rodents_annual()
|
Get Portal rodent data annually |
|
get_test_loglik()
|
Get test loglikelihood (all) |
|
ldats_subset_one()
|
Run LDATS on a single dataset subset |
|
modal_ts()
|
Predictions from TS model using modal changepoint estimates |
|
multinom_theta()
|
Get theta matrix for one draw from posterior |
|
r2s()
|
R2s from TS fit |
|
run_best_model()
|
Run best-fitting model |
|
select_cvlt()
|
Select simplest good model |
|
subset_data_all()
|
Subset data - all subsets |
|
subset_data_one()
|
Subset data - one subset |
|
subset_lda()
|
Subset an LDA model |
|
summarize_ldats_fit()
|
Summarize LDATS fits |
|
summarize_model()
|
Summarize a model fit |