R: Multilevel Latent Time Series Models with 'R' and 'Stan'

# Multilevel Latent Time Series Models with 'R' and 'Stan'

## Documentation for package ‘mlts’ version 2.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ar1_data | Simple Time-Series Data
create_missings | Create Missings for Approximation of Continuous Time Dynamic Models
mlts_fit | Fit Bayesian Multilevel Manifest or Latent Time-Series Models
mlts_model | Build a multilevel latent time series model
mlts_model_formula | Create TeX Model Formula from mlts model object
mlts_model_paths | Create Path Diagrams from mlts model object
mlts_paths | Plot Paths for Two-Level VAR Model
mlts_plot | Plot results of mlts
mlts_posterior_sample | Generate Posterior Predictive Samples for Multilevel Latent Time Series Models
mlts_pp_check | Posterior Predictive Checks for Multilevel Latent Time Series Models
mlts_sim | Simulate data from mlts model
mlts_standardized | Get Standardized Estimates for an mlts Model
summary.mltsfit | Create a summary of a fitted model with class 'mltsfit'
ts_data | Simple Time-Series Data