You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: likErf.m
    path of file: ./repos/Gaussian-Process-Regression/gpml-matlab-v4.2-2018-06-11/lik
    
    the code of the file until where you have to start completion: function [varargout] = likErf(hyp, y, mu, s2, inf, i)

% likErf - Error function or cumulative Gaussian likelihood function for binary
% classification or probit regression. The expression for the likelihood is 
%   likErf(t) = (1+erf(t/sqrt(2)))/2 = normcdf(t).
%
% Several modes are provided, for computing likelihoods, derivatives and moments
% respectively, see likFunctions.m for the details. In general, care is taken
% to avoid numerical issues when the arguments are extreme.
% 

    
function [varargout] = likErf(hyp, y, mu, s2, inf, i)

% likErf - Error function or cumulative Gaussian likelihood function for binary
% classification or probit regression. The expression for the likelihood is 
%   likErf(t) = (1+erf(t/sqrt(2)))/2 = normcdf(t).
%
% Several modes are provided, for computing likelihoods, derivatives and moments
% respectively, see likFunctions.m for the details. In general, care is taken
% to avoid numerical issues when the arguments are extreme.
% 
% Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2014-03-19.
%
% See also LIKFUNCTIONS.M.

if nargin<3, varargout = {'0'}; return; end