dmvtmix              package:flowClust              R Documentation

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

     This function computes the densities at the inputted points of the
     multivariate t mixture distribution with Box-Cox transformation.

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

     dmvtmix(x, w, mu, sigma, nu, lambda, object, subset, include, log=FALSE)

_A_r_g_u_m_e_n_t_s:

       x: A matrix or data frame of size N x P, where N is the number
          of observations and P is the dimension.  Each row corresponds
          to one observation.

       w: A numeric vector of length K containing the cluster
          proportions.

      mu: A matrix of size K x P containing the K mean vectors.

   sigma: An array of size K x P x P containing the K covariance
          matrices.

      nu: The degrees of freedom used for the t distribution.  If
          'nu=Inf', Gaussian distribution will be used.

  lambda: The Box-Cox transformation parameter.  If missing, the
          conventional t distribution without transformation will be
          used.

  object: An optional argument.  If provided, it's an object returned
          from 'flowClust', and the previous arguments will be assigned
          values from the corresponding slots of 'object'.

  subset: An optional argument.  If provided, it's a numeric vector
          indicating which variables are selected for computing the
          densities.  If 'object' is provided and 'object@varNames' is
          not 'NULL', then a character vector containing the names of
          the variables is allowed.

 include: An optional argument.  If provided, it's a numeric vector
          specifying which clusters are included for computing the
          densities.

     log: A logical value.  If 'TRUE' then the logarithm of the
          densities is returned.

_V_a_l_u_e:

     A vector of length N containing the density values.

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

     Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>

