predict.mds: Fit distance sampling with movement model

In r-glennie/moveds: Fit Distance Sampling Models with Animal Movement

Description

Fit distance sampling with movement model

Usage

## S3 method for class 'mds'
predict(object, newdata = NULL, stratum.name = NULL,
  level = 0.95, ...)

Arguments

object	fitted mds model
newdata	if NULL then predicted abundance for all covered area, otherwise, provide transects (in form of ds$transect described for mds function) for transects covering stratum of interest
stratum.name	optional, used to label prediction object
level	confidence interval level, default is 0.95
...	ignored

Value

Named list: $result table of estimated parameters, standard errors, and confidence intervals $cor estimated correlation matrix between parameter estimates $penc average probability of detection $AIC Akaike's information criterion score for the model $fit the fitted model object output by optim $ds ds argument $move move argument $level confidence level supplied

r-glennie/moveds documentation built on Dec. 9, 2019, 9:42 p.m.