chi2testlinear: Goodness-of-Fit Test for Linear Distributions
In detpack: Density Estimation and Random Number Generation with Distribution Element Trees
Description
Usage
Arguments
Value
Description
Composite Pearson's Chi-square test for goodness-of-fit of linear distributions.
Usage
1
chi2testlinear(x, alpha)
Arguments
x
vector with normalized data between 0 and 1.
alpha
significance level.
Value
Object with test outcome h = TRUE/FALSE meaning rejection/acceptance of linear null hypothesis, and p-value or confidence level of acceptance.
detpack documentation built on July 24, 2019, 5:03 p.m.
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Description Usage Arguments Value
Description
Composite Pearson's Chi-square test for goodness-of-fit of linear distributions.
Usage
1 | chi2testlinear(x, alpha)
|
Arguments
x |
vector with normalized data between 0 and 1. |
alpha |
significance level. |
Value
Object with test outcome h = TRUE/FALSE meaning rejection/acceptance of linear null hypothesis, and p-value or confidence level of acceptance.
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.
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