View source: R/LV_pm_alpha_global_lambdacov_none_alphacov_none.R
| LV_pm_alpha_global_lambdacov_none_alphacov_none | R Documentation | 
Lotka-Volterra model with a global alpha and no covariate effects
LV_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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