Run Maximum likelihood estimation for model M2C.
M2C(data, BadStart, nchains, method, niter, lambda.min)A vector of class 'circular'
An integer to replace the log likelihood when starting parameters of the optimizer fall outside the preset bounds. This is usually set to a large number. Can also be set to Inf, but will result in an error if a method other than "Nelder-Mead" is chosen. (default = 10^9)
A positive integer indicating the number of chains to run. Only the chain with the lowest log likelihood is returned (default = 5)
A character string indicating the optimizing algorithm to use. Either "BFGS" or "Nelder-Mead" are recommended. See ?optim for more details. (default = "BFGS")
The maximum number of iterations for the optimizing algorithm. Equivalent to the 'maxit' control parameter of the optim() function. See ?optim for more details. (default = 5000)
The minimum proportional size of the first distribution. Must be between 0 and 1. (default = 0.25)
A list with elements (same as for function optim()):
$par: Vector with the optimized mean angle (mu1), concentration parameter (kappa1) and proportional size (lambda) of the first distribution (mu1 and kappa1).
$lik: The negative log likelihood
$counts: A two-element integer vector giving the number of calls to <U+2018>fn<U+2019> and <U+2018>gr<U+2019> respectively. See ?optim() for details.
$convergence: An integer code. <U+2018>0<U+2019> indicates successful completion (which is always the case for <U+2018>"SANN"<U+2019> and <U+2018>"Brent"<U+2019>). Possible error codes are:
<U+2018>1<U+2019> indicates that the iteration limit <U+2018>maxit<U+2019> had been reached.
<U+2018>10<U+2019> indicates degeneracy of the Nelder-Mead simplex.
<U+2018>51<U+2019> indicates a warning from the <U+2018>"L-BFGS-B"<U+2019> method; see component <U+2018>message<U+2019> for further details.
<U+2018>52<U+2019> indicates an error from the <U+2018>"L-BFGS-B"<U+2019> method; see component <U+2018>message<U+2019> for further details.
$message: A character string giving any additional information returned by the optimizer, or <U+2018>NULL<U+2019>.
# NOT RUN {
testdata = circular::rvonmises(100, mu = circular::circular(pi), kappa = 3)
M2C(testdata)
# }
Run the code above in your browser using DataLab