pred.strength.dist: Modification of 'prediction.strength{fpc}' that allows input...

In MortenKrebs/diagtraject: Mining of Diagnosis Trajectories

Description

Modification of prediction.strength{fpc} that allows input format to be a dissimilarity matrix and clustering method to be hierachical.

Usage

pred.strength.dist(
  dist,
  Gmin = 2,
  Gmax = 10,
  M = 50,
  cutoff = 0.8,
  clustermethod = c("ward.D2", "average"),
  class.method = c("ward.D2", "average", "pam"),
  indx = NULL,
  weights = NULL,
  mc.cores = NULL
)

Arguments

dist	distance matrix or object of class 'dist'.

Value

object of class predstr

MortenKrebs/diagtraject documentation built on March 6, 2021, 10:54 a.m.