constrOptim_inf: Linearly Constrained Optimization
In larslau/pavpop: Phase and amplitude varying population pattern models

Description Usage Arguments Details See Also

constrOptim_inf is a modified version of the regular R constrOptim with the modification described in https://stackoverflow.com/questions/30741117/issue-with-constroptim

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constrOptim_inf(theta, f, grad, ui, ci, mu = 1e-04, control = list(),
  method = if (is.null(grad)) "Nelder-Mead" else "BFGS",
  outer.iterations = 100, outer.eps = 1e-05, ..., hessian = FALSE)

`theta`	numeric (vector) starting value (of length p): must be in the feasible region.
`f`	function to minimise (see `constrOptim`).
`grad`	gradient of f (a function as well), or NULL (see `constrOptim`).
`ui`	constraint matrix (k x p), see `constrOptim`
`ci`	constraint vector of length k (see `constrOptim`).
`mu`	(Small) tuning parameter.
`control`	passed to `optim`.
`method`	passed to `optim`.
`outer.iterations`	iterations of the barrier algorithm.
`outer.eps`	non-negative number; the relative convergence tolerance of the barrier algorithm.
`...`	Other named arguments to be passed to f and grad: needs to be passed through `optim` so should not match its argument names.
`hessian`	passed to `optim`.