code: function partial( lambda, k ) {
  	var lnl = ln( lambda ),
  		kl = k / lambda,
  		d = ln( k ) - lnl,
  		j = k - 1;
  
  	/**
  	* FUNCTION: pdf( x )
  	*	Evaluates the probability density function (PDF) for a Weibull distribution.
  	*
  	* @private
  	* @param {Number} x - input value
  	* @returns {Number} evaluated PDF
  	*/
  	return function pdf( x ) {
  		var lnp;
  		if ( x < 0 ) {
  			return 0;
  		}
  		if ( x === 0 ) {
  			return ( k === 1 ) ? kl : 0;
  		}
  		lnp = d + j*( ln(x)-lnl );
  		lnp -= pow( x/lambda, k );
  		return exp( lnp );
  	};
  }
docs: PARTIAL // 
  FUNCTION: partial( lambda, k )
  Partially applies parameters `lambda` and `k` and returns a function for evaluating the probability density function (PDF) for a Weibull distribution.
  
  @param {Number} lambda - scale parameter
  @param {Number} k - shape parameter
  @returns {Function} PDF