Imhof: Imhof numerical method
In mlespera/BenGood: Assessing Goodness-of-Fit of Data to Benford's Law
Description
Usage
Arguments
References
See Also
Description
Imhof computes upper tail probabilities of asymptotic distributions
for the CVM type statistics using Imhof's numerical method.
Usage
1
Arguments
x
MLDEFINITION
eigvals
MLDEFINITION
UPPER
MLDEFINITION. If unspecified, default is NA.
subdiv
MLDEFINITION. If unspecified, default is 100.
eps1
MLDEFINITION. If unspecified, default is 0.0001.
References
Imhof, J. P. (1961). Computing the Distribution of Quadratic Forms in Normal Variables.
Biometrika 48, 419-426. Imhof, J. P. (1962). Corrigenda: Computing the Distribution of
Quadratic Forms in Normal Variables. Biometrika 49, p. 284.
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.
See Also
mlespera/BenGood documentation built on May 18, 2019, 3:43 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments References See Also
Description
Imhof computes upper tail probabilities of asymptotic distributions
for the CVM type statistics using Imhof's numerical method.
Usage
1 |
Arguments
x |
MLDEFINITION |
eigvals |
MLDEFINITION |
UPPER |
MLDEFINITION. If unspecified, default is NA. |
subdiv |
MLDEFINITION. If unspecified, default is 100. |
eps1 |
MLDEFINITION. If unspecified, default is 0.0001. |
References
Imhof, J. P. (1961). Computing the Distribution of Quadratic Forms in Normal Variables. Biometrika 48, 419-426. Imhof, J. P. (1962). Corrigenda: Computing the Distribution of Quadratic Forms in Normal Variables. Biometrika 49, p. 284. 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.
See Also
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.