View source: R/LV_pm_alpha_pairwise_lambdacov_global_alphacov_global.R
LV_pm_alpha_pairwise_lambdacov_global_alphacov_global | R Documentation |
Lotka-Volterra model with pairwise alphas and global covariate effects on lambda and alpha
LV_pm_alpha_pairwise_lambdacov_global_alphacov_global(
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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