gam_interp {anipaths}

GAM interpolation using mgcv:gam().

Description

GAM interpolation using mgcv:gam().

Usage

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

Value

interpolated values