eFrameGRM | R Documentation |
eFrameGRM
creates an eFrameGRM data object for use with generalized removal
models with additional monitoring using the robust design where sampling occurs
over a number of primary and secondary periods. The additional monitoring
usually consists of an index of abundance and hence, inference follows the
combined removal + index/removal method (Chen, Pollock & Hoenig (1998) Biometrics,
54, 815-827).
eFrameGRM(y, ym, siteCovs = NULL, obsCovs = NULL)
y |
An MxJ matrix of the observed removal data, where M is the number of sites and J is the maximum number of removal (primary) periods per site. Each primary period can consist of k secondary periods but this is not used here. |
ym |
An MxJ matrix of the additional monitoring (index) data. |
obsCovs |
A list of matrices or data.frames of variables varying within sites. Each matrix or data.frame must be of dimension MxJ. |
SiteCovs |
A |
a eFrameGRM
holding data containing the response and
covariates required for removal models
rem<- san_nic_rem$rem
ym<- san_nic_rem$ym # detections from additional monitoring
emf<-eFrameGRM(rem, ym, type="removal")
summary(emf)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.