fitDist function

Distribution fitting

Uses Nelder-Mead simplex algorithm to minimize fitting norms.

fitDist(
  data,
  dist,
  n.points,
  norm,
  constrain,
  opts = list(algorithm = "NLOPT_LN_NELDERMEAD", xtol_rel = 1e-08, maxeval = 10000)
)

Arguments

• data: value to be fitted
• dist: name of the distribution to be fitted
• n.points: number of points to be subsetted from ecdf
• norm: norm used for distribution fitting - id ('N1', 'N2', 'N3', 'N4')
• constrain: logical - constrain shape2 parametes for finite tails
• opts: minimization options

Examples

x <- fitDist(rnorm(1000), 'norm', 30, 'N1', FALSE)
x