maxlikbat: Find maximum likelihood estimates for the inverse Batschelet...
In keesmulder/flexcircmix: Fit Mixtures of Flexible Circular Distributions

Find maximum likelihood estimates for the inverse Batschelet distribution

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maxlikbat(x, likfunbat_fun = likfuninvbat, weights, fixed_mu = NA,
  fixed_kp = NA, fixed_lam = NA, init_kp = 1, init_lam = 0,
  max_its = 20, kp_max = 1000)

`x`	An set of angles in radians.
`likfunbat_fun`	A function that returns a function, which is the desired likelihood function to maximize over. Either `likfuninvbat` (the default) or `likfunpowbat`.
`weights`	A vector of length `length(x)`, which gives importance weights to be used for x.
`fixed_mu`	If NA, the `mu` will be estimated as the mean direction. Else, `mu` will be fixed at `fixed_mu`.
`fixed_kp`	If NA, kp will be estimated. Else, a numeric giving the fixed value of kp.
`fixed_lam`	If NA, lam will be estimated. Else, a numeric giving the fixed value of lam.
`init_kp`	An initial value for κ, only used if neither κ or λ is fixed.
`init_lam`	An initial value for λ, only used if neither κ or λ is fixed.
`max_its`	Used only if neither `fixed_kp` nor `fixed_lam` is provided. The maximum number of iterations for the Nelder-Mead optimization.
`kp_max`	Used only if `fixed_lam` is provided. The maximum value for kappa to search for.