Description Usage Arguments Details References See Also
rodben.ml.objf
contains the objective function of the nonlinear programming
problem used to compute the MLE in LR.rod
.
1 | rodben.ml.objf(beta, freq, digits)
|
beta |
A real number. |
freq |
Vector of multinomial frequencies. |
digits |
A significant digits vector. |
LR.rod
computes the MLE for β numerically under the
Rodriguez generalization of Benford by maximizing a log-likelihood objective
function, or equivalently minimizing the negative of said function. See
Lesperance et. al for further details.
Lesperance M, Reed WJ, Stephens MA, Tsao C, Wilton B (2016) Assessing conformance with Benford's Law: goodness-of-fit tests and simultaneous confidence intervals. PLoS one; 11(3). Wong, S. (2010) Testing Benford's Law with the first two significant digits. University of Victoria, Master's thesis.
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