calib                 package:calib                 R Documentation

_C_a_l_i_b_r_a_t_i_o_n _f_u_n_c_t_i_o_n

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

     Computes the calibration statistics

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

     calib(calib.fit.out, y0, conf = 0.9, dilution = 1, 
     samp.names, truth, times, samp.units = "", dose.units = "", 
     dose.name = "", maxit = 1000, toler = 1e-05, 
     rname = "response", extrap = F, xname = x)

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

calib.fit.out: Output from calib.fit

      y0: ~~Describe 'y0' here~~ 

    conf: A vector of mean response values to predict the unknown x

dilution: Dilution factor

samp.names: Names of the unknowns

   truth: Optional argument to provide true concentrations if they are
          known

   times: ...

samp.units: Names of the unknowns

dose.units: Units of dose

dose.name: Name of dose

   maxit: Maximum number of iterations to use in optimization

   toler: Tolerance for optimization step

   rname: This is the name of the reponse variable

  extrap: Option to extrapoloate out of range values

   xname: Names of concentrations

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

Estimated.x: Predicted values of x (for example concentration)

PredStdErr: The predicted standard errors of the estimated x's

inver.low: The estimate of the lower confidence limit for the 
          predicted x's using inverse estimation

inver.up: The estimate of the upper confidence limit for the predicted
          x's using inverse estimation

wald.low: The estimate of the lower confidence limit for the predicted
          x's using Wald estimation

 wald.up: The estimate of the upper confidence limit for the predicted
          x's using Wald estimation

avg.response: y0 values

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

     Perry Haaland, Daniel Samarov, Elaine McVey

_R_e_f_e_r_e_n_c_e_s:

     Haaland and Davidian 1992

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

     data(ELISA)
     data(experimentData)
     attach(ELISA)
     attach(experimentData)

     model <- calib.fit(Concentration, Response)
     cal <- calib(model, OD)

