fit_univariate {fitur} | R Documentation |
Fit Univariate Distribution
Description
Fit Univariate Distribution
Usage
fit_univariate(x, distribution, type = "continuous")
Arguments
x |
numeric vector |
distribution |
character name of distribution |
type |
discrete or continuous data |
Value
a fitted list object of d, p, q, r distribution functions and parameters, MLE for probability distributions, custom fit for empirical
Examples
# Fit Discrete Distribution
set.seed(42)
x <- rpois(1000, 3)
fitted <- fit_univariate(x, 'pois', type = 'discrete')
# density function
plot(fitted$dpois(x=0:10),
xlab = 'x',
ylab = 'dpois')
# distribution function
plot(fitted$ppois(seq(0, 10, 1)),
xlab= 'x',
ylab = 'ppois')
# quantile function
plot(fitted$qpois,
xlab= 'x',
ylab = 'qpois')
# sample from theoretical distribution
summary(fitted$rpois(100))
# estimated parameters from MLE
fitted$parameters
set.seed(24)
x <- rweibull(1000, shape = .5, scale = 2)
fitted <- fit_univariate(x, 'weibull')
# density function
plot(fitted$dweibull,
xlab = 'x',
ylab = 'dweibull')
# distribution function
plot(fitted$pweibull,
xlab = 'x',
ylab = 'pweibull')
# quantile function
plot(fitted$qweibull,
xlab = 'x',
ylab = 'qweibull')
# sample from theoretical distribution
summary(fitted$rweibull(100))
# estimated parameters from MLE
fitted$parameters
[Package fitur version 0.6.2 Index]