Flexible Parametric Models for Censored and Truncated Data (flexPM)
Estimation of flexible parametric models for survival data.
Objective Bayesian Model Discrimination in Follow-Up Designs (OBsMD)
Implements the objective Bayesian methodology proposed in Consonni and Deldossi in order to choose the optimal experiment that better discriminate between competing models.
Estimating Mixed Graphical Models (mgm)
Functions to estimate and sample from a mixed Graphical model.
Minimum Distance Estimation in Autoregressive Model (AutoregressionMDE)
Consider autoregressive model of order p where the distribution function of innovation is unknown, but innovations are independent and symmetrically distributed. The package contains a function named ARMDE which takes X (vector of n observations) and p (order of the model) as input argument and returns minimum distance estimator of the parameters in the model.
Distance Weighted Discrimination (DWD) and Kernel Methods (kerndwd)
Distance Weighted Discrimination (DWD) and Kernel Methods