sim_dlim  R Documentation 
Fit DLIM for simulation
sim_dlim(
data,
df_m,
df_l,
penalize = TRUE,
pen_fn = "ps",
mod_args = NULL,
lag_args = NULL,
fit_dlm = FALSE,
model_type = "standard",
...
)
data 
output from 
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 Bsplines 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 
This function returns an object of class "sim_dlim
"
cb 
DLIM crossbasis (class " 
fit 
DLIM model fit (class " 
cb_dlm 
DLM crossbasis (class " 
model_dlm 
DLM model fit (class " 
true_betas 
true linear effect of the exposure on the response for each individual and time point (class " 
modifiers 

data 

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