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: AbstractHyperhemisphericalDistribution.m
    path of file: ./repos/libDirectional/lib/distributions/Hyperhemisphere
    
    the code of the file until where you have to start completion: classdef (Abstract) AbstractHyperhemisphericalDistribution < AbstractHypersphereSubsetDistribution
    % Abstract base class for distributions on the hypershere (S^dim)
    
    methods
        function m = mean(this)
            m = this.meanAxis();
        end
        function h = plot(this, faces, gridFaces)
            % Plots the pdf of a hyperspherical distribution
            %
            % Parameters:
            %   faces (scalar)
            %       Number of faces for 3D Plot (default 100).
            %   gridFaces (scalar)
            %       Number of grid faces
    
function s = sampleMetropolisHastings(this, n, proposal, startPoint, burnIn, skipping)
            % Metropolis Hastings sampling algorithm
            %
            % Parameters:
            %   n (scalar)
            %       number of samples
            % Returns:
            %   s (dim x n)
            %       one sample per column
            %
            % Hastings, W. K. 
            % Monte Carlo Sampling Methods Using Markov Chains and Their Applications 
            % Biometrika, 1970, 57, 97-109
            arguments
                this (1,1) AbstractDistribution
                n (1,1) {mustBePositive,mustBeInteger}
                proposal (1,1) function_handle = @()[] % Will be replaced by default below
                startPoint (:,1) double = this.mode()
                burnIn (1,1) double = 10
                skipping (1,1) double = 5
            end