Evaluate the loss function of the cod model across a range of tau (precision parameter) values

Usage

optcodsmooth(
  tr,
  logtaulb = -4,
  logtauub = 35,
  res = 5,
  startpc = 75,
  endpc = 100,
  nobj = 100,
  ipw = NULL,
  ncpu = 1,
  tol = 0.001
)

Arguments

tr: A phylogenetic tree in ape::phylo format
logtaulb: Lower bound of precision parameteters
logtauub: Upper bound of precision parameteters
res: Number of tau values to evaluate
startpc: The initial per cent of nodes in the tree counting from root to tips where the loss function will be evaluated
endpc: The final per cent of nodes in the tree counting from root to tips where the loss function will be evaluated
nobj: The integer number of points along the tree where the loss function will be evaluated. If Inf, will use all points between startpc and endpc, but may be slow.
ipw: Optional inverse probability weights for each sample

Value

A data frame containing the loss function evaluated over a range of tau values