sim_dlim: Fit DLIM for simulation

In dlim: Distributed Lag Interaction Model

Fit DLIM for simulation

Description

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")

See Also

dlim

sim_data

Type vignette('dlimOverview') for a detailed description.

dlim documentation built on May 29, 2024, 8:32 a.m.