JSdoc improvements for random.js

js/random.js

 /**
  * generate two independent Gaussian numbers using Box-Muller transform.
  * mean and deviation specify the desired mean and standard deviation.
- * @param {number} [mean]
- * @param {number} [deviation]
+ * @param {number} [mean=0]
+ * @param {number} [deviation=1]
  * @returns {number[]}
  */
 function gaussianPair(mean = 0, deviation = 1) {
@@ -47,10 +47,10 @@ App.Utils.Math.limitedSkewedGaussian = function(max, min, skew) {
  * Generate a random integer with a normal distribution between min and max (both inclusive).
  * Default parameters result in truncating the standard normal distribution between -3 and +3.
  * Not specifying min/max results in rerolling val approximately 0.3% of the time.
- * @param {number} [mean]
- * @param {number} [deviation]
- * @param {number} [min]
- * @param {number} [max]
+ * @param {number} [mean=0]
+ * @param {number} [deviation=1]
+ * @param {number} [min=mean-3*deviation]
+ * @param {number} [max=mean+3*deviation]
  * @returns {number}
  */
 function normalRandInt(mean = 0, deviation = 1, min = mean - 3 * deviation, max = mean + 3 * deviation) {
@@ -66,7 +66,7 @@ function normalRandInt(mean = 0, deviation = 1, min = mean - 3 * deviation, max
  * If count is defined, chooses that many random numbers between min and max and returns the average. This is an approximation of a normal distribution.
  * @param {number} min
  * @param {number} max
- * @param {number} [count]
+ * @param {number} [count=1]
  * @returns {number}
  */
 function jsRandom(min, max, count = 1) {