Man pages for rettopnivek/mle
Convenience functions for maximum likelihood estimation
| AIC.mle | Compute AIC for mle objects |
| akaike_weights | Compute Akaike/Schwarz weights |
| anova.mle | Table of model comparisons using AIC and BIC |
| BIC.mle | Compute BIC for mle objects |
| coef.mle | Extract parameters from mle objects |
| confint.mle | Extract confidence intervals from mle objects |
| create_mle_fn | Create a MLE function |
| deviance.mle | Extract model deviance from mle objects |
| logLik.mle | Extract log-likelihood from mle objects |
| MLE | A convenience function to carry out maximum likelihood... |
| mle_fn_template | Template a log-likelihood function |
| param_est | Compute parameter matrix |
| print.anova.mle | Print model comparisons for mle objects |
| print.mle | Print mle objects |
| print.summary.mle | Print summary measures for mle objects |
| sd.mle | Extract standard errors from mle objects |
| summary.mle | Computes summary measures for mle objects |
| tran_par | Transform a vector of parameters |
| vcov.mle | Extract the variance-covariance matrix from mle objects |
