R: Routines for Exponential Power Distribution

# Routines for Exponential Power Distribution

## Documentation for package ‘normalp’ version 0.7.2.1

- DESCRIPTION file

## Help Pages

normalp-package | Package for exponential power distributions (EPD)
dnormp | Density function of an exponential power distribution
estimatep | Estimation of p
graphnp | Plot of exponential power distributions
kurtosis | Indices of kurtosis
lmp | Fitted linear model with exponential power distribution errors
lmp.default | Fitted linear model with exponential power distribution errors
paramp | Estimation of location and scale parameters
paramp.default | Estimation of location and scale parameters
plot.lmp | Diagnostic plots for a lmp object
plot.simul.lmp | Plots of the results of a simulation plan on a linear regression model
plot.simul.mp | Plots of the results of a simulation plan on the parameters of an exponential power distribution
pnormp | Probability function of an exponential power distribution
print.simul.mp | Simulation planning for the parameters of an exponential power distribution
print.summary.lmp | Summarize linear model fits with exponential power distribution errors
print.summary.simul.lmp | Summarize simulation results on linear regression model
qnormp | Quantiles of an exponential power distribution
qqlinep | Quantile-Quantile plot for an exponential power distribution
qqnormp | Quantile-Quantile plot for an exponential power distribution
qqnormp.default | Quantile-Quantile plot for an exponential power distribution
rnormp | Pseudo-random numbers from an exponential power distribution
simul.lmp | Simulation planning for a linear regression model with errors distributed as an exponential power distribution
simul.mp | Simulation planning for the parameters of an exponential power distribution
simul.mp.default | Simulation planning for the parameters of an exponential power distribution
summary.lmp | Summarize linear model fits with exponential power distribution errors
summary.simul.lmp | Summarize simulation results on linear regression model