View source: R/BH_pm_alpha_pairwise_lambdacov_none_alphacov_none.R
BH_pm_alpha_pairwise_lambdacov_none_alphacov_none | R Documentation |
Beverton-Holt model with pairwise alphas and no covariate effects
BH_pm_alpha_pairwise_lambdacov_none_alphacov_none(
par,
fitness,
neigh_intra_matrix = NULL,
neigh_inter_matrix,
covariates,
fixed_parameters
)
par |
1d vector of initial parameters: 'lambda', 'alpha_intra' (optional), 'alpha_inter', 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 |
included for compatibility, not used in this model |
fixed_parameters |
optional list specifying values of fixed parameters, with components "lambda","alpha_intra","alpha_inter". |
log-likelihood value
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