Fit DLIM for simulation

Usage

sim_dlim(
  data,
  df_m,
  df_l,
  penalize = TRUE,
  pen_fn = "ps",
  mod_args = NULL,
  lag_args = NULL,
  fit_dlm = FALSE,
  model_type = "standard",
  ...
)

Arguments

data: output from sim_data
df_m: degrees of freedom for modifiers
df_l: degrees of freedom for lags
penalize: True to penalize model
pen_fn: if penalizing, can specify "ps" for penalized B-splines or "cr" for cubic regression splines with penalties on second derivatives
mod_args: a list of additional arguments for the spline function (must be named by argument)
lag_args: a list of additional arguments for the spline function (must be named by argument)
fit_dlm: True to additionally fit dlm for comparison
model_type: "linear" for a DLIM with linear interaction, "quadratic" for a DLIM with quadratic interaction, "standard" for a DLIM with splines
...: arguments to pass to model fitting function

Value

This function returns an object of class "sim_dlim"

cb: DLIM cross-basis (class "cross-basis")
fit: DLIM model fit (class "lm", "glm", "gam")
cb_dlm: DLM cross-basis (class "crossbasis")
model_dlm: DLM model fit (class "lm", "glm", "gam")
true_betas: true linear effect of the exposure on the response for each individual and time point (class "matrix")
modifiers: modifiers from numeric
data: data (class "list")

Fit DLIM for simulation

Usage

Arguments

Value

See also