Calculate lag from residuals

[rknx]

1. Fit presence ~ week + dis + gene + gene:dis + gene:week + dir for field data.
2. Get residuals.
3. Merge residuals to each env dataframe and calculate fit.
4. Determine best lag period.

[rknx]

Also calculate TSS from external cross-validation

• Use GLM, not GLMM

[rknx]

Also calculate TSS from external cross-validation

• Use GLM, not GLMM

Implemented

[rknx]

1. Fit presence ~ week + dis + gene + gene:dis + gene:week + dir for field data.
2. Get residuals.
3. Merge residuals to each env dataframe and calculate fit.
4. Determine best lag period.

need to figure how how to calculate and merge residuals ->

• NA can be a problem
• Grab model frame and merge residuals. Use model frame for validation