Analyze model performance over varying lags

Iterates over a range of lag values to fit models and determine optimal lag based on R-squared.

Usage

analyzeLags(
  f1 = "",
  f2 = "",
  dyad = c(),
  xname = f1,
  yname = f2,
  norm = F,
  window_size = 60 * 5,
  window_step = window_size,
  start = "",
  end = "",
  func = fitDSModelForDyad,
  na.rm = T,
  simulate = F,
  dname = paste(xname, yname, sep = "+"),
  measure = "EDA",
  downsample = 1,
  minLag = 0,
  maxLag = 5,
  noPlots = F,
  relativeToLag = -1,
  type = 4,
  plotParams = T,
  pltTitle = NULL
)

Arguments

f1

File path for participant 1.

f2

File path for participant 2.

dyad

Optional dyad object (if provided, f1 and f2 are ignored).

xname

Friendly name for participant 1.

yname

Friendly name for participant 2.

norm

Logical, whether to standardize data.

window_size

Window size in seconds.

window_step

Step size in seconds.

start

Start time.

end

End time.

func

Function to use for fitting the model.

na.rm

Logical, whether to remove NA values.

simulate

Logical, whether to simulate dyad data.

dname

Friendly name for the dyad.

measure

Measurement column (e.g., "EDA").

downsample

Downsampling factor.

minLag

Minimum lag value.

maxLag

Maximum lag value.

noPlots

Logical, if TRUE no plots are generated.

relativeToLag

Reference lag index (default -1).

type

Model type.

plotParams

Logical, whether to plot model parameters.

pltTitle

Title for the plots.

Value

A list with optimal lag summary and model outputs.