gam_interp function

GAM interpolation using mgcv:gam().

gam_interp(
  formula = NULL,
  y,
  time,
  pred_times,
  se.fit = T,
  s_args = NULL,
  uncertainty.type,
  verbose = F
)

Arguments

• formula: optionally specify formula for mgcv::gam() using y as response and time as predictor.
• y: observations
• time: times for observations
• pred_times: prediction times
• se.fit: logical default is TRUE; should standard pointwise errors be computed for interpolation
• s_args: Arguments to mgcv::s() can be passed using a named list/vector.
• uncertainty.type: State what type of uncertainty plot 1 is default for tails more than 1 is amount of predicted trajectories for each unique individual and blurs for blur plot
• verbose: logical; TRUE prints messages about fitting details

Returns

interpolated values