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

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Documentation for package ‘mlts’ version 2.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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