em_censored_fit: Compute the maximum likelihood estimates of an exponential...
In brentfagan/mixem: Exponential Mixture Model MLEs using the EM algorithm

Compute the maximum likelihood estimates of an exponential mixture distribution and number of mixtures when the data is right censored.

1 2	em_censored_fit(x, cens_point, n_c, prec = 1e-08, prec2 = 1e-04, itermax = 100, rmax = 10)

`x`	A data vector.
`cens_point`	Point at which data is censored.
`n_c`	Number of right censored data points.
`prec`	Precision used for testing convergence of mle's as measured by squared difference of loglikelihood functions.
`prec2`	Estimated mixing proportions below `prec2` will cause algorithm to stop.
`itermax`	Maximum number of EM algorithm iterations.
`rmax`	Maximum number of mixtures to find.