sim_baseline: Expected baseline health outcomes

In eesim: Simulate and Evaluate Time Series for Environmental Epidemiology

Description

Generates expected baseline health outcome counts based on average outcome and desired seasonal and / or long-term trends.

Usage

sim_baseline(n, lambda, trend = "no trend", slope = 1, amp = 0.6,
  start.date = "2000-01-01")

Arguments

n	A numeric value specifying the number of days for which to simulate data
lambda	A numeric value specifying the mean for the expected outcomes
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.
start.date	A date in the format "yyyy-mm-dd" specifying the first day for which to simulate data

Value

A data frame with the date and expected baseline outcome count for each day of simulated data.

Examples

sim_baseline(n = 5, lambda = 100, trend = "cos1")

eesim documentation built on May 2, 2019, 7:30 a.m.