mlts (version 2.0.1)

mlts_standardized: Get Standardized Estimates for an mlts Model

Description

Get Standardized Estimates for an mlts Model

Usage

mlts_standardized(
  object,
  what = c("between", "within", "both"),
  digits = 3,
  prob = 0.95,
  add_cluster_std = FALSE,
  get_samples = FALSE
)

Value

A list containing between- and within-level standardized parameters.

Arguments

object

mltsfit. Output of mlts_model and related functions.

what

character. Get between-level standardized estimates (what = "between", the default), within-level standardized estimates averaged over clusters (what = "within"), or both (what = "both").

digits

Number of digits. Default is 3.

prob

A value between 0 and 1 to indicate the width of the credible interval. Default is .95.

add_cluster_std

logical. If what = "within", within-level standardized effects for each cluster are included in the output (defaults to FALSE).

get_samples

logical. For internal use.

Examples

# \donttest{
# build simple vector-autoregressive mlts model for two time-series variables
var_model <- mlts_model(q = 2)

# fit model with (artificial) dataset ts_data
fit <- mlts_fit(
  model = var_model,
  data = ts_data,
  ts = c("Y1", "Y2"), # time-series variables
  id = "ID", # identifier variable
  time = "time", # time variable
  tinterval = 1, # interval for approximation of continuous-time dynamic model,
  monitor_person_pars = TRUE # person parameters need to be sampled for standardization
)

# inspect standardized parameter estimates
mlts_standardized(fit)
# }