print_model_run_message: Print the message to the console about which combination of...

In LDATS: Latent Dirichlet Allocation Coupled with Time Series Analyses

Print the message to the console about which combination of the Time Series and LDA models is being run

Description

If desired, print a message at the beginning of every model combination stating the TS model and the LDA model being evaluated.

Usage

print_model_run_message(models, i, LDA_models, control)

Arguments

models	data.frame object returned from expand_TS that contains the combinations of LDA models, and formulas and nchangepoints used in the TS models.
i	integer index of the row to use from models.
LDA_models	List of LDA models (class LDA_set, produced by LDA_set) or a singular LDA model (class LDA, produced by LDA).
control	A list of parameters to control the fitting of the Time Series model including the parallel tempering Markov Chain Monte Carlo (ptMCMC) controls. Values not input assume defaults set by TS_control. Of particular importance here is the logical-class element named quiet.

Value

NULL.

Examples

  data(rodents)
  document_term_table <- rodents$document_term_table
  document_covariate_table <- rodents$document_covariate_table
  LDAs <- LDA_set(document_term_table, topics = 2:3, nseeds = 2)
  LDA_models <- select_LDA(LDAs)
  weights <- document_weights(document_term_table)
  formulas <- c(~ 1, ~ newmoon)
  nchangepoints <- 0:1
  mods <- expand_TS(LDA_models, formulas, nchangepoints)
  print_model_run_message(mods, 1, LDA_models, TS_control())

LDATS documentation built on Sept. 19, 2023, 5:08 p.m.