circfit_control: Auxiliary Function for Controlling Circular Regression Tree...
In circmax: Circular Regression with Maximum Likelihood Estimation and Regression Trees

Auxiliary function for circfit fitting. Specifies a list of values passed to optim.

1	circfit_control(solve_kappa = "Newton-Fourier", useC = FALSE, ncores = 1, ...)

`solve_kappa`	Which kappa solver should be used for the starting values for kappa. By default a "Newton-Fourier" is used. Alternatively, a "Uniroot" provides a safe option and "Banerjee_et_al_2005" provides a quick approximation.
`useC`	Should score function and solver be calculated in C?
`ncores`	If useC = TRUE, number of cores for parallelization with openMP.
`...`	additional parameters passed to `optim`.

A list with components named as the arguments.

circmax documentation built on May 2, 2019, 5:16 p.m.

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Heteroscedastic Censored and Truncated Regression with crch

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