grad_msel function

Gradient of the Log-likelihood Function of Multivariate Ordered Probit Model

Gradient of the Log-likelihood Function of Multivariate Ordered Probit Model

Calculates gradient of the log-likelihood function of multivariate ordered probit model.

grad_msel( par, control_lnL, out_type = "grad", n_sim = 1000L, n_cores = 1L, regularization = NULL )

Arguments

  • par: vector of parameters.
  • control_lnL: list with some additional parameters.
  • out_type: string representing the output type of the function.
  • n_sim: the number of random draws for multivariate normal probabilities.
  • n_cores: the number of cores to be used.
  • regularization: list of regularization parameters.
  • Maintainer: Bogdan Potanin
  • License: GPL (>= 2)
  • Last published: 2024-09-26

Useful links