dlm: Distributed lag model
In AnderWilson/regimes: Regression in Multivariate Exposure Settings
dlm R Documentation
Distributed lag model
Description
This estimates a distributed lag model (DLM) with a natrual spline basis. The model is estimated with the glm function form the stats package.
Usage
dlm(Y, X, Z, df, family = gaussian)
Arguments
Y
Vector of outcomes.
X
Matrix of exposures over an evenly spaced grid. There should be no missing exposures.
Z
Optional design matrix or data.frame of covariates. An intercept will be added
df
Degrees of freedom for the natrual spline basis
family
A description of the error distribution and link function to be used in the model.
Value
An object of class dlm. This is a list containing: “dlm“ the fitted distribued lag function; “cumulative“ estimates of the cumulative effect; and “modelfit“ which contains AIC and BIC for the fitted model; “basis“ is the natrual spline basis for the dlm; and “fit“ the fitted object returned from glm.
AnderWilson/regimes documentation built on July 17, 2024, 4:12 a.m.
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| dlm | R Documentation |
Distributed lag model
Description
This estimates a distributed lag model (DLM) with a natrual spline basis. The model is estimated with the glm function form the stats package.
Usage
dlm(Y, X, Z, df, family = gaussian)
Arguments
Y |
Vector of outcomes. |
X |
Matrix of exposures over an evenly spaced grid. There should be no missing exposures. |
Z |
Optional design matrix or data.frame of covariates. An intercept will be added |
df |
Degrees of freedom for the natrual spline basis |
family |
A description of the error distribution and link function to be used in the model. |
Value
An object of class dlm. This is a list containing: “dlm“ the fitted distribued lag function; “cumulative“ estimates of the cumulative effect; and “modelfit“ which contains AIC and BIC for the fitted model; “basis“ is the natrual spline basis for the dlm; and “fit“ the fitted object returned from glm.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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