LV_pm_alpha_pairwise_lambdacov_none_alphacov_none {cxr} | R Documentation |
Lotka-Volterra model with pairwise alphas and no covariate effects
Description
Lotka-Volterra model with pairwise alphas and no covariate effects
Usage
LV_pm_alpha_pairwise_lambdacov_none_alphacov_none(
par,
fitness,
neigh_intra_matrix = NULL,
neigh_inter_matrix,
covariates,
fixed_parameters
)
Arguments
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". |
Value
log-likelihood value
[Package cxr version 1.1.1 Index]