continuous_exposure: Simulate continuous exposure data
In eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Description Usage Arguments Value Examples

Simulates a time series of continuous exposure values with or without a seasonal and / or long-term trend.

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continuous_exposure(n, mu, sd = 1, trend = "no trend", slope, amp = 0.6,
  cust_expdraw = NULL, cust_expdraw_args = list(),
  start.date = "2000-01-01", ...)

`n`	A non-negative integer specifying the number of days to simulate.
`mu`	A numeric value giving the mean exposure across all study days.
`sd`	A numeric value giving the standard deviation of the exposure values from the exposure trend line.
`trend`	A character string that specifies the desired trend function. Options are: "no trend": No trend, either seasonal or long-term (default). "cos1": A seasonal trend only. "cos2": A seasonal trend with variable amplitude across years. "cos3": A seasonal trend with steadily decreasing amplitude over time. "linear": A linear long-term trend with no seasonal trend. "curvilinear": A curved long-term trend with no seasonal trend. "cos1linear": A seasonal trend plus a linear long-term trend. See the package vignette for examples of the shapes of these trends.
`slope`	A numeric value specifying the slope of the trend, to be used with `trend = "linear"` or `trend = "cos1linear"`.
`amp`	A numeric value specifying the amplitude of the seasonal trend. Must be between -1 and 1.
`cust_expdraw`	A character string specifying a user-created function which determines the distribution of random noise off of the trend line. This function must have inputs "n" and "mean" and output a vector of simulated exposure values.
`cust_expdraw_args`	A list of arguments other than "n" and "mean" required by the cust_expdraw function.
`start.date`	A date of the format "yyyy-mm-dd" from which to begin simulating daily exposures
`...`	Optional arguments to a custom trend function

A data frame with the dates and simulated daily exposure values from n days.

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continuous_exposure(n = 5, mu = 100, sd = 10, trend = "cos1")
continuous_exposure(n=10, mu=3, trend="linear", slope = 2,
                    cust_expdraw=rnorm, cust_expdraw_args = list(sd=.5))