Given a matrix of individual capture configurations, and the corresponding matrix and array of covariates (affecting the class weights and the conditional capture probabilities given the latent class), the function aggregates data, providing a stratified capture-recapture format.
aggr_data(Y, W =NULL, X =NULL)
Arguments
Y: matrix of frequencies of capture configurations
W: matrix of covariates affecting the class weights
X: array of covariates affecting the conditional capture probabilities
Returns
Ya: matrix of aggregated frequencies of capture configurations
Wa: matrix of aggregated covariates affecting the class weights
Xa: array of aggregated covariates affecting the conditional capture probabilities
Author(s)
Francesco Bartolucci, Antonio Forcina
See Also
freq_data
Examples
# case without covariatesY = rbind(c(0,1,0,0,0,0,0,0),c(0,0,0,1,0,0,0,0),c(0,0,0,0,0,0,1,0))aggr_data(Y)# case with covariatesW = c(1,1,2); X = as.matrix(c(0,0,2))aggr_data(Y,W,X)