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Distributed lag non-linear models in R: the package DLM Antonio Gasparino and Ben Armstrong London School of Hygiene and Tropical Medicine, UK DLM version 1.6.2, 2012-04-17 Contents 1 Preamble 2 2

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Distributed lag non-linear models (DLNMs) are statistical models used to examine the relationship between a predictor variable and a response variable over time, allowing for non-linear and lagged effects.

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The purpose of DLNMs is to capture complex and dynamic relationships between variables that cannot be adequately captured by linear models, allowing for a more nuanced analysis of time series data.

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The information reported on DLNMs includes the specification of the model, estimates of model parameters, measures of model fit, and interpretation of the results in relation to the research question.

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