pearson7: Maximum Likelihood Inference for the Pearson VII Distribution with Shape Parameter 3/2

Share:

Supports maximum likelihood inference for the Pearson VII distribution with shape parameter 3/2 and free location and scale parameters. This distribution is relevant when estimating the velocity of processive motor proteins with random detachment.

Author
John Hughes
Date of publication
2016-06-22 05:42:12
Maintainer
John Hughes <jphughesjr@gmail.com>
License
GPL (>= 2)
Version
1.0-2

View on CRAN

Man pages

dpearson7
Evaluate the density for the Pearson VII distribution with...
pearson7.fit
Find the MLE for a sample from the Pearson VII distribution...
pearson7.objective
Compute the negative log likelihood for a sample.
ppearson7
Evaluate the distribution function for the Pearson VII...
qpearson7
Evaluate the quantile function for the Pearson VII...
rpearson7
Generate random deviates from a Pearson VII distribution with...
summary.pearson7
Print a summary of a Pearson VII fit.

Files in this package

pearson7
pearson7/COPYING
pearson7/inst
pearson7/inst/CITATION
pearson7/NAMESPACE
pearson7/R
pearson7/R/pearson7.R
pearson7/R/zzz.R
pearson7/MD5
pearson7/DESCRIPTION
pearson7/man
pearson7/man/pearson7.fit.Rd
pearson7/man/pearson7.objective.Rd
pearson7/man/ppearson7.Rd
pearson7/man/summary.pearson7.Rd
pearson7/man/rpearson7.Rd
pearson7/man/dpearson7.Rd
pearson7/man/qpearson7.Rd