Relates the individual to be evolved to the full parameter string.

        Parameters
        ----------
        sequence: str
            Full amino acid sequence for specification object to be
            optimized. Must be equal to the number of residues in the
            model.
        value_means: list
            List containing mean values for parameters to be optimized.
        value_ranges: list
            List containing ranges for parameters to be optimized.
            Values must be positive.
        arrangement: list
            Full list of fixed and variable parameters for model
            building. Fixed values are the appropriate value. Values
            to be varied should be listed as 'var0', 'var1' etc,
            and must be in ascending numerical order.
            Variables can be repeated if required.

def parameters(self, sequence, value_means, value_ranges, arrangement):
        """Relates the individual to be evolved to the full parameter string.

        Parameters
        ----------
        sequence: str
            Full amino acid sequence for specification object to be
            optimized. Must be equal to the number of residues in the
            model.
        value_means: list
            List containing mean values for parameters to be optimized.
        value_ranges: list
            List containing ranges for parameters to be optimized.
            Values must be positive.
        arrangement: list
            Full list of fixed and variable parameters for model
            building. Fixed values are the appropriate value. Values
            to be varied should be listed as 'var0', 'var1' etc,
            and must be in ascending numerical order.
            Variables can be repeated if required.
        """
        self._params['sequence'] = sequence
        self._params['value_means'] = value_means
        self._params['value_ranges'] = value_ranges
        self._params['arrangement'] = arrangement
        if any(x <= 0 for x in self._params['value_ranges']):
            raise ValueError("range values must be greater than zero")
        self._params['variable_parameters'] = []
        for i in range(len(self._params['value_means'])):
            self._params['variable_parameters'].append(
                "".join(['var', str(i)]))
        if len(set(arrangement).intersection(
                self._params['variable_parameters'])) != len(
                    self._params['value_means']):
            raise ValueError("argument mismatch!")
        if len(self._params['value_ranges']) != len(
                self._params['value_means']):
            raise ValueError("argument mismatch!")