Description Usage Arguments Value Author(s) References Examples
This function computing of goodness-of-fit for continuous univariate
distributions using tests: Kolmogorov-Smirnov, Anderson-Darling and
Cramer-von Mises. It is based on goftest package. Moreover information criteria
are evaluated: Akaike's Information Criterion and Bayesian Information
Criterion, Akaike's Information Criterion with bias correction and Kashyap bayesian Information Criterio
by means of InfoCRIT
function.
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Station: |
a character specifying a name or number of pluviographic station where data were measurement, and it use to save results in *.xls format. |
Type: |
a character specifying a name of probability distribution
function fitted (see |
Intensity: |
a numeric vector with intensity values for a specific time duration in different return periods. |
Parameters: |
a list with three elements: i) Type of distribution function ii) fitted parameters, and iii) source to call specfic function in the lmomco package. |
M.fit: |
a character specifying a name of fit method employed on pdf, just three options are available: L-moments (Lmoments), Probability-Weighted Moments (PWD), and Maximum Likelihood (MLE). |
Dura: |
a character specifying a time duration of the |
Plot: |
a number (1) to determine if it will be plotted density curves both empirical as modeled (pdf). If any other number is used graphs will not appear. |
Resolution: |
a number to determine the resolution that the plot function will used to save graphs.
It has two options: 300 and 600 ppi. See |
SAVE: |
a logical value. TRUE will save |
A data frame with statistics values of goodness of fit tests and its respective p-value, moreover information criteria are evaluated:
Kolmogorov-Smirnov: statistic= KS and p-value1
Anderson-Darling: statistic= AD and p-value2
Cramer-von Mises: statistic= Omega2 and p-value3
Akaike's Information Criterion: AIC
Bayesian Information Criterion: BIC
Akaike's Information Criterion with bais correction: AICc
Kashyap bayesian Information Criterion: KIC
David Zamora <[email protected]> Water Resources Engineering Research Group - GIREH
Hurvich, C. M., & Tsai, C. L. (1989). Regression and time series model selection in small samples. Biometrika, 76(2), 297-307.
Kashyap, R. L. (1982). Optimal choice of AR and MA parts in autoregressive moving average models. IEEE Transactions on Pattern Analysis and Machine Intelligence, (2), 99-104.
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