quinModel                package:nlme                R Documentation

_M_o_d_e_l _f_u_n_c_t_i_o_n _f_o_r _t_h_e _Q_u_i_n_i_d_i_n_e _d_a_t_a

_D_e_s_c_r_i_p_t_i_o_n:

     A model function for a model used with the 'Quinidine' data. This
     function calls compiled C code.

_U_s_a_g_e:

     quinModel(Subject, time, conc, dose, interval, lV, lKa, lCl)

_A_r_g_u_m_e_n_t_s:

 Subject: a factor identifying the patient on whom the data were
          collected. 

    time: a numeric vector giving the time (hr) at which the drug was
          administered or the blood sample drawn.  This is measured
          from the time the patient entered the study. 

    conc: a numeric vector giving the serum quinidine concentration
          (mg/L). 

    dose: a numeric vector giving the dose of drug administered (mg).
          Although there were two different forms of quinidine
          administered, the doses were adjusted for differences in salt
          content by conversion to milligrams of quinidine base. 

interval: a numeric vector giving the when the drug has been given at
          regular intervals for a sufficiently long period of time to
          assume steady state behavior, the interval is recorded. 

      lV: numeric.  A vector of values of the natural log of the
          effective volume of distribution according to 'Subject' and
          'time'.

     lKa: numeric.  A vector of values of the natural log of the
          absorption rate constant according to 'Subject' and 'time'.

     lCl: numeric.  A vector of values of the natural log of the
          clearance parameter according to 'Subject' and 'time'.

_D_e_t_a_i_l_s:

     See the details section of 'Quinidine' for a description of the
     model function that 'quinModel' evaluates.

_V_a_l_u_e:

     a numeric vector of predicted quinidine concentrations.

_A_u_t_h_o_r(_s):

     Jose Pinheiro jose.pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_R_e_f_e_r_e_n_c_e_s:

     Pinheiro, J. C. and Bates, D. M. (2000) _Mixed-effects Models in S
     and S-PLUS_, Springer. (section 8.2)