Man pages for JoaoPedro2536/univ.em
| EM | Maximization step of the EM algorithm |
| embivg | Estimate Mean Vector and Covariance Matrix |
| est_sig | Estimate Sigma in Multivariate Case |
| exact_mle | Maximizing the Likelihood Estimation 1. |
| exxest | Estimate expected value |
| Logll | Likelihood Estimation. |
| MCEM | This is the maximization step of the mcem algorithm (M-step). |
| mcem_mult | Estimate mean and Variance by MCEM multivariate |
| mcovxi | Mcov - XI E-Step For Variance Estimate |
| mem | Estimate MU verctor for E-step |
| Mest | E-Step For Mean Estimate |
| mexi | ME-XI For First Moment |
| mle_exact_mult | Calculate MLEeexact for Case Multivariate |
| mult_llik | Defining the Log-Likelihood Function |
| mult_simul | Simulated Data Multivariated Case |
| MuMCEM | E-Step estimate the parameter of mu. |
| mu_zmcem_mult | Estimate Mu for Sample |
| sigmaMCEM | E-Step estimate the parameter of sigma. |
| sigma_zmcem_mult | Estimate Covariance Matrix for Sample |
| SSest | E-Step For Variance Estimate |
| univ_Simul | Generating data from a gaussian |
| ZMCEM | E-Step for Mu estimation, Simulating Z's |
| zmcem_mult | Generate Samples |
