unmarkedFramePCount: Organize data for the N-mixture model fit by pcount

In unmarked: Models for Data from Unmarked Animals

Organize data for the N-mixture model fit by pcount

Description

Organizes repeated count data along with the covariates. This S4 class is required by the data argument of pcount

Usage

unmarkedFramePCount(y, siteCovs=NULL, obsCovs=NULL, mapInfo)

Arguments

y	An RxJ matrix of the repeated count data, where R is the number of sites, J is the maximum number of sampling periods per site.
siteCovs	A data.frame of covariates that vary at the site level. This should have R rows and one column per covariate
obsCovs	Either a named list of data.frames of covariates that vary within sites, or a data.frame with RxJ rows in site-major order.
mapInfo	Currently ignored

Details

unmarkedFramePCount is the S4 class that holds data to be passed to the pcount model-fitting function.

Value

an object of class unmarkedFramePCount

See Also

unmarkedFrame-class, unmarkedFrame, pcount

Examples

# Fake data
R <- 4 # number of sites
J <- 3 # number of visits
y <- matrix(c(
   1,2,0,
   0,0,0,
   1,1,1,
   2,2,1), nrow=R, ncol=J, byrow=TRUE)
y

site.covs <- data.frame(x1=1:4, x2=factor(c('A','B','A','B')))
site.covs

obs.covs <- list(
   x3 = matrix(c(
      -1,0,1,
      -2,0,0,
      -3,1,0,
      0,0,0), nrow=R, ncol=J, byrow=TRUE),
   x4 = matrix(c(
      'a','b','c',
      'd','b','a',
      'a','a','c',
      'a','b','a'), nrow=R, ncol=J, byrow=TRUE))
obs.covs

umf <- unmarkedFramePCount(y=y, siteCovs=site.covs, 
    obsCovs=obs.covs)          # organize data
umf                            # take a l
summary(umf)                   # summarize data
fm <- pcount(~1 ~1, umf, K=10) # fit a model
      

unmarked documentation built on July 9, 2023, 5:44 p.m.