View source: R/BH_pm_alpha_global_lambdacov_none_alphacov_none.R
| BH_pm_alpha_global_lambdacov_none_alphacov_none | R Documentation | 
Beverton-Holt model with a global alpha and no covariate effects
BH_pm_alpha_global_lambdacov_none_alphacov_none(
  par,
  fitness,
  neigh_intra_matrix = NULL,
  neigh_inter_matrix,
  covariates,
  fixed_parameters
)
| par | 1d vector of initial parameters: lambda, alpha, and sigma. | 
| fitness | 1d vector of fitness observations, in log scale. | 
| neigh_intra_matrix | included for compatibility, not used in this model. | 
| neigh_inter_matrix | matrix of arbitrary columns, number of neighbours for each observation. As in this model there is a single alpha argument, do not distinguish neighbour identity | 
| covariates | included for compatibility, not used in this model. | 
| fixed_parameters | optional list specifying values of fixed parameters, with components "lambda","alpha_inter". | 
log-likelihood value
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