fit_ssf: Fit an SSF Model
In MovingUngulate/DEERP: DEER Project Stuffs

Description Usage Arguments Value Examples

Construct an SSF model from data created with ssf_sample

1	fit_ssf(dat, covars, lcname = "LCClass_03272019", rfnum = NULL)

`dat`	data.frame from ssf_sample
`covars`	character vector of covars for the model
`lcname`	name of land cover covariate
`rfnum`	if not null, the column name of the rf rsf layer

Returns SSF model object

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system.time({ mods<- parallel::mclapply(dd,fit_ssf, covars=c('sl_','ta_','DistToMainStream','DistPrimRoad','DistSecRoad','Elevation','Slope','Aspect','TPI','TRI','Roughness','ClosestDist'),lcname='LCClass_03272019',mc.cores=18) })
amt::strata(AID)')
amt::strata(AID)')