Description Usage Arguments Details Value References See Also Examples
Fit distributed lag models using lme4 to penalize smooth terms. Other random effects terms and generalized mixed models supported.
1 2 3 
formula 
an object of class 
data 
an optional data frame, list, or environment containing the variables of the model to be fitted 
subset 
optional vector specifying a subset of observations to be used in the fitting process 
na.action 
optional function that indicates what should happen when the data contains

weights 
optional vector of weights to be used in the fitting process. Should be

offset 
a known offset term to include in the model, e.g. for 
method 
algorithm used to fit the DLM. Partial matching and capitalization allowed.
The default is 
family 
a description of the error distribution and link function to be used
in the model. The default is 
control 
either a 
... 
Additional parameters passed to 
Models are specified using typical lme4 formula
syntax with
at least one set of
lag terms returned by a given smoothing function (e.g. see cr
).
The smoothing function can be any that returns a SmoothLag
basis
object. See Examples
for a basic call to dlm
using the formula interface, and a cubic
radial lag basis specified via cr
, and the dlmBE
package documentation
for a discussion
of the types of models dlm
is designed to handle.
An S4 object that inherits from dlMod
(and
lme4::merMod
, by extension) containing the
results of the fitted model. Many standard model summary methods are
available for these object types
Baek J, Sanchez BN, Berrocal VJ, & SanchezVaznaugh EV (2016) Epidemiology 27(1):11624. (PubMed)
Baek J, Hirsch JA, Moore K, Tabb LP, et al. (2017) Epidemiology 28(3):40311. (PubMed)
Bates D, Maechler M, Bolker BM, & Walker SC (2015) Fitting linear mixedeffects models using lme4. J Stat Softw 67(1). (jstatsoft.org)
1 2 3 4 5 6 7 8 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.