Run model fitting procedure for either bait-to-bait or other interactions. Meant for internal use only.
run.model.fitting(
interaction.data,
distance.bins = NULL,
distribution = "negative-binomial",
bait.to.bait = FALSE,
adjustment.terms = NULL,
maxit = 100,
epsilon = 1e-08,
cores = 1,
trace = FALSE,
verbose = FALSE,
interim.data.dir = NULL
)data.table object containing interaction counts. Must contain columns distance, count, and bait_trans_count.
Number of bins to split distance into. Models are fit separately in each bin.
Name of distribution of the counts. Options are 'negative-binomial', 'poisson', 'truncated-poisson', and 'truncated-negative-binomial'
Logical indicating if model should be fit as bait-to-bait
Characted vector of extra terms to adjust for in the model fit
Maximum number of IWLS iterations for fitting the model (passed to glm.control)
Positive convergence tolerance for Poisson and negative binomial models. Passed to glm.control
Integer value specifying how many cores to use to fit model for cis-interactions.
Logical indicating if output should be produced for each of model fitting procedure. Passed to glm.control or gamlss.control
Logical indicating whether to print progress reports.
Path to directory to store intermediate QC data and plots.
Interactions data with expeceted number of interactions and p-values added.