package_TS_on_LDA: Package the output of TS_on_LDA

In weecology/LDATS: Latent Dirichlet Allocation Coupled with Time Series Analyses

Description

Set the class and name the elements of the results list returned from applying TS to the combination of TS models requested for the LDA model(s) input.

Usage

package_TS_on_LDA(TSmods, LDA_models, models)

Arguments

TSmods	list of results from TS applied for each model on each LDA model input.
LDA_models	List of LDA models (class LDA_set, produced by LDA_set) or a singular LDA model (class LDA, produced by LDA).
models	data.frame object returned from expand_TS that contains the combinations of LDA models, and formulas and nchangepoints used in the TS models.

Value

Class TS_on_LDA list of results from TS applied for each model on each LDA model input.

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)
  mods <- expand_TS(LDA_models, c(~ 1, ~ newmoon), 0:1)
  nmods <- nrow(mods)
  TSmods <- vector("list", nmods)
  for(i in 1:nmods){
    formula_i <- mods$formula[[i]]
    nchangepoints_i <- mods$nchangepoints[i]
    data_i <- prep_TS_data(document_covariate_table, LDA_models, mods, i)
    TSmods[[i]] <- TS(data_i, formula_i, nchangepoints_i, "newmoon", 
                      weights, TS_control())
  }
  package_TS_on_LDA(TSmods, LDA_models, mods)

weecology/LDATS documentation built on March 28, 2020, 11:20 a.m.