pearson_bayes: Fitting the pearson distribution with Bayesian inference
In NVE/fitdistrib: A list a functions to fit data to probability distributions
Description
Usage
Arguments
Value
Examples
Description
Function to fit the pearson distribution with BayesianMCMC method
WE assume that the shape parameter only has a prior with mean zero and standard deviation 0.2 (dnorm(x[3], 0, 0.2))
Usage
1
pearson_bayes(dat)
Arguments
dat
the data that needs fitting (i.e. flood data)
Value
param Estimated parameters and standard error returned as a list($estimate, $se)
Examples
1
2
3
library(FlomKartShinyApp)
estimate = pearson_bayes(test_data)
FlomKartShinyApp::plot4server(test_data, param = estimate$estimate, distr = 5)
NVE/fitdistrib documentation built on May 7, 2019, 6:04 p.m.
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Description Usage Arguments Value Examples
Description
Function to fit the pearson distribution with BayesianMCMC method WE assume that the shape parameter only has a prior with mean zero and standard deviation 0.2 (dnorm(x[3], 0, 0.2))
Usage
1 | pearson_bayes(dat)
|
Arguments
dat |
the data that needs fitting (i.e. flood data) |
Value
param Estimated parameters and standard error returned as a list($estimate, $se)
Examples
1 2 3 | library(FlomKartShinyApp)
estimate = pearson_bayes(test_data)
FlomKartShinyApp::plot4server(test_data, param = estimate$estimate, distr = 5)
|
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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