sim_dlim {dlim}

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.