exact_mle: Maximizing the Likelihood Estimation 1.
In JoaoPedro2536/univ.em:

Description Usage Arguments Value Examples

Maximizing the Likelihood Estimation 1.

exact_mle(
  tl = c(-Inf, 62, 64, 66, 68, 70, 72, 74, 76, 78),
  freq = c(0, 1, 9, 16, 15, 8, 1, 0, 0, 0),
  intial_mu = (67/2),
  intial_sigma = (1/2)
)

`tl`	Lower end of the intervals.
`freq`	Frequency on each interval.
`intial_mu`	Initial numeric value for mu (mean).
`intial_sigma`	Initial numeric value for sigma.

Return the result of the log likelihood for the mean (mu) and sigma (variance) estimates.

 simdataaaa <- em.univ::univ_simul(ncol_matrix=1,
                         n=50,
                         nclass = 10,
                         mean = 68,
                         sd = 1.80,
                         fr_breaks=c(62,64,66,68,70,72,74,76,78))
 
 
 tl<- simdataaaa$simul_data[,1,1]
 freq<- simdataaaa$simul_data[,3,1]
 
 estimates_simul <- em.univ::exact_mle(tl=tl,
                             freq=freq,
                             intial_mu = (67/2),
                             intial_sigma = (1/2))
 
 estimates_simul