I created this package because I needed to have the same random numbers in both R and Python programs. Although both languages implement a Mersenne-Twister random number generator (RNG ... as the ...

It generates numbers between 1 to 10 with a bias of 73% for numbers greater than 5. The bias is introduced by a simple if/else check on the number returned by the random number generator ... to lie ...

According to the authors, as this effect is not detected in the NumPy Python library, the result obtained in the workindicates the presence of an internal defect in the algorithm for generating ...

In those analyses, researchers will face any number of analytical decisions, including whether to use fixed or random ... in Python, using a built-in dataset on firms’ performance from the ...