get_Gamma: Define a kernel (function) over samples
In kimberlyroche/ROL: What the package does (short line)

Description Usage Arguments Details Value

Define a kernel (function) over samples

get_Gamma(
  kernel_scale,
  proportions,
  min_correlation = 0.1,
  days_to_baseline = 90
)

`kernel_scale`	total variance for the composite kernel
`proportions`	proportion variance to attribute to each of 3 kernels (see details)
`rho`	bandwidth for SE kernel

Composite kernel is built from (1) squared exponential kernel (base autocorrelation component), (2) seasonal kernel (periodic), and (3) diet and climate component (another squared exponential)

list containing kernel function and bandwidth parameter

kimberlyroche/ROL documentation built on Dec. 10, 2020, 2:18 a.m.