02.Caswell              package:popbio              R Documentation

_C_o_n_v_e_r_t_e_d _M_a_t_l_a_b _f_u_n_c_t_i_o_n_s _f_r_o_m _C_a_s_w_e_l_l (_2_0_0_1)

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

     *Chapter 2*.  Age-classified matrix models

      '_p_o_p._p_r_o_j_e_c_t_i_o_n'  section 2.2.   Projection of population growth
          rates.  See  'stage.vector.plot' to plot stage (or age)
          vectors

     *Chapter 4*.  Stage-classified matrix models

      '_e_i_g_e_n._a_n_a_l_y_s_i_s'  section 4.8.   Computation of eigenvalues and
          eigenvectors.  Returns the dominant eigenvalue (section.4.4),
          stable stage distribution (section 4.5), reproductive value
          (section 4.6), and damping ratio (section 4.7)

     *Chapter 5*.  Events in the Life Cycle

      '_f_u_n_d_a_m_e_n_t_a_l._m_a_t_r_i_x'  section 5.3.1. Calculate age-specific
          survival from a stage classified matrix using the fundamental
          matrix N 

      '_n_e_t._r_e_p_r_o_d_u_c_t_i_v_e._r_a_t_e'  section 5.3.4. Calculate the net
          reproductive rate of a stage classified matrix using the
          dominant eigenvalue of the matrix R.  

      '_g_e_n_e_r_a_t_i_o_n._t_i_m_e'  section 5.3.5.   Calculate the generation time
          of a stage-classified matrix  

     The whale dataset includes code to calculate age-specific survival
     and fertility curves (figure 5.1 and 5.2).

     *Chapter 6*. Parameter estimation

      '_p_r_o_j_e_c_t_i_o_n._m_a_t_r_i_x'  section 6.1.1.  Estimate vital rates and
          construct a projection matrix using transtion frequency
          tables

      '_Q_P_m_a_t'  section 6.2.2.  Construct a projection matrix from a
          time series of  individuals per stage using Wood's quadratic
          programming method.  Requires 'quadprog' library.

     See the 'Rcapture' package for capture-recapture methods described
     in section 6.1.2.

     *Chapter 9*.  Sensitivity analysis

      '_e_i_g_e_n._a_n_a_l_y_s_i_s'  section  9.1, and 9.2. Calculate sensitivities
          and elasticities.  The examples in the teasel and tortoise
          datasets also include code to sum elasticities and create
          figures like 9.3, 9.4, and 9.11. 

     See the 'demogR' package for the second derivative function
     described in section 9.7.

     *Chapter 15*.  Demographic stochasticity

      '_m_u_l_t_i_r_e_s_u_l_t_m'  section 15.1.3.  Incorporate demographic
          stochasticity into population projections.  The example uses
          the whale dataset to create a plot like figure 15.3. 

_A_u_t_h_o_r(_s):

     Chris Stubben

