logLik.gnls               package:nlme               R Documentation

_L_o_g-_L_i_k_e_l_i_h_o_o_d _o_f _a _g_n_l_s _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     Returns the log-likelihood value of the nonlinear model
     represented by 'object' evaluated at the estimated coefficients.

_U_s_a_g_e:

     ## S3 method for class 'gnls':
     logLik(object, REML, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'gnls', representing a
          generalized nonlinear least squares fitted model.

    REML: an logical value for consistency with 'logLik,gls', but only
          'FALSE' is accepted.. 

     ...: some methods for this generic require additional arguments. 
          None are used in this method.

_V_a_l_u_e:

     the log-likelihood of the linear model represented by 'object'
     evaluated at the estimated coefficients.

_A_u_t_h_o_r(_s):

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

_S_e_e _A_l_s_o:

     'gnls', 'logLik.lme'

_E_x_a_m_p_l_e_s:

     fm1 <- gnls(weight ~ SSlogis(Time, Asym, xmid, scal), Soybean,
                 weights = varPower())
     logLik(fm1)