secrdemo                package:secr                R Documentation

_S_E_C_R _M_o_d_e_l_s _F_i_t_t_e_d _t_o _D_e_m_o_n_s_t_r_a_t_i_o_n _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     Objects of class 'secr' formed by 

     'secrdemo.0 <- secr.fit (captdata)'

     'secrdemo.b <- secr.fit (captdata, model = list(g0 = ~b))'

     'secrdemo.CL <- secr.fit (captdata, CL = TRUE) '

     where 'captdata' is a 'capthist' object using the demonstration
     data (files 'trap.txt','capt.txt') from program Density 4.1
     (Efford 2007).

_U_s_a_g_e:

     data(secrdemo)

_D_e_t_a_i_l_s:

     The raw data are 235 fictional captures of 76 animals in 100
     single-catch traps over 5 occasions. The fitted models use a
     halfnormal detection function and the likelihood for multi-catch
     traps (expect estimates of g0 to be biased because of trap
     saturation Efford et al. 2009). The first is a null model (i.e.
     parameters constant) and the second fits a learned trap response.

_S_o_u_r_c_e:

     Efford, M.G. (2007) Density 4.1: software for spatially explicit
     capture-recapture. Department of Zoology, University of Otago,
     Dunedin, New Zealand. <URL: http://www.otago.ac.nz/density>.

     Efford, M. G., Borchers D. L. and Byrom, A. E. (2009) Density
     estimation by spatially explicit capture-recapture:
     likelihood-based methods. In: D. L. Thomson, E. G. Cooch and M. J.
     Conroy (eds) _Modeling Demographic Processes in Marked
     Populations_. Springer, New York. Pp. 255-269.

_S_e_e _A_l_s_o:

     'captdata', 'capthist'

_E_x_a_m_p_l_e_s:

     ## display the default fit with the print method for secr
     data (secrdemo)
     secrdemo.0

