getLambdaMin           package:quantsmooth           R Documentation

_g_e_t_L_a_m_b_d_a_M_i_n

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

     Test a set of smoothing parameters to find best fit to data

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

       getLambdaMin(intensities,lambdas,...)

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

intensities: numeric vector

 lambdas: numeric vector; see 'quantsmooth'

     ...: extra parameters for 'quantsmooth.cv'; currently only
          'ridge.kappa'

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

     Cross validation is performed using a set of lambda values in
     order to find the lambda value that shows the best fit to the
     data.

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

     This function returns the lambda value that has the lowest cross
     validation value on this dataset

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

     Jan Oosting

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

     'quantsmooth.cv'

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

       data(chr14)
       lambdas<-2^seq(from=-2,to=5,by=0.25)
       getLambdaMin(bac.cn[,1],lambdas)

