area.between
(Package: GoFKernel) :
Area between a Density Function and a Kernel Estimate
The function area.between is an (internal) function of the GoFKernel package that calculates the area, in a given interval, between a theoretical density function and an empirical kernel estimate. area.between is called by dgeometric.test of the GoFKernel package.
● Data Source:
CranContrib
● Keywords: density
● Alias: area.between
●
0 images
|
support.facto computes the de facto numerical limits of a density function with theoretical infinite support. This function is an (internal) function of the GoFKernel package.
● Data Source:
CranContrib
● Keywords:
● Alias: support.facto
●
0 images
|
Given a sample of a continuous univariate random variable and a density function fun.den with support in the interval (lower , upper )), fan.test considers the test whose null hypothesis is that the sample has fun.den as density function and the test statistic and the corresponding p-value of the test based on the integral of the squared difference between the null hypothesis density function and a kernel smoothing approximation. To properly run, the KernSmooth package needs to be installed, as in its default option it depends on the dpik function to estimate the bandwidth.
● Data Source:
CranContrib
● Keywords: htest
● Alias: fan.test
●
0 images
|
The function density.reflected computes kernel density estimates for univariate observations using reflection in the borders.
● Data Source:
CranContrib
● Keywords: density
● Alias: density, density.reflected
●
1 images
|
inverse
(Package: GoFKernel) :
Inverse CDF Function
Function to calculate the inverse function of a cumulative distribution function.
● Data Source:
CranContrib
● Keywords: ~kwd1, ~kwd2
● Alias: inverse
●
0 images
|
This function generates random draws of a continuous random variable given either its density or its cumulative distribution function.
● Data Source:
CranContrib
● Keywords:
● Alias: random.function
●
0 images
|
Tests of goodness-of-fit based on kernel smoothing of the data.
● Data Source:
CranContrib
● Keywords: package
● Alias: GoFKernel, GoFKernel-package
●
0 images
|
Implementation of the goodness-of-fit test based on assessing the size of the area between the null hypothesis density function and a kernel density estimate of a sample.
● Data Source:
CranContrib
● Keywords: htest
● Alias: dgeometric.test
●
0 images
|