View source: R/LV_pm_alpha_pairwise_lambdacov_global_alphacov_pairwise.R
| LV_pm_alpha_pairwise_lambdacov_global_alphacov_pairwise | R Documentation | 
Lotka-Volterra model with pairwise alphas, covariate effects on lambda, and pairwise covariate effects on alpha
LV_pm_alpha_pairwise_lambdacov_global_alphacov_pairwise(
  par,
  fitness,
  neigh_intra_matrix = NULL,
  neigh_inter_matrix,
  covariates,
  fixed_parameters
)
| par | 1d vector of initial parameters: lambda, lambda_cov, alpha, alpha_cov, and sigma | 
| fitness | 1d vector of fitness observations, in log scale | 
| neigh_intra_matrix | optional matrix of one column, number of intraspecific neighbours for each observation | 
| neigh_inter_matrix | matrix of arbitrary columns, number of interspecific neighbours for each observation | 
| covariates | optional matrix with observations in rows and covariates in columns. Each cell is the value of a covariate in a given observation | 
| fixed_parameters | optional list specifying values of fixed parameters, with components "lambda","alpha_intra","alpha_inter","lambda_cov","alpha_cov". | 
log-likelihood value
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