mcenMLE: Estimate Statistics
In USGS-R/smwrQW: Tools for censored data analysis
mcenMLE R Documentation
Estimate Statistics
Description
Support function for computing statistics for multiply-censored
data extended from the maximum likelihood method (Helsel and Cohn, 1988).
Usage
mcenMLE(x, method = "MLE", alpha = 0.4)
Arguments
x
the data to estimate, Missing values permitted and ignored.
Must be an object of class "mcens," a numeric vector, or the output from censpp.
method
the method to use, either "MLE" or "log MLE."
alpha
the offset for plotting position, used to compute the filled in values.
Value
A list containing the mean and standard deviation, filled in
values for the censored values, and the censored levels. If method
is "log MLE," then the list also contains the mean and standard deviation of the
natural log-transformed values computed by maximum likelihood.
References
Helsel, D.R. and Cohn, T.A., 1988, Estimation of descriptive statistics
for multiply censored water quality data: Water Resources Research v. 24, n.
12, pp.1997-2004
USGS-R/smwrQW documentation built on Oct. 11, 2022, 6:13 a.m.
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| mcenMLE | R Documentation |
Estimate Statistics
Description
Support function for computing statistics for multiply-censored data extended from the maximum likelihood method (Helsel and Cohn, 1988).
Usage
mcenMLE(x, method = "MLE", alpha = 0.4)
Arguments
x |
the data to estimate, Missing values permitted and ignored. Must be an object of class "mcens," a numeric vector, or the output from censpp. |
method |
the method to use, either "MLE" or "log MLE." |
alpha |
the offset for plotting position, used to compute the filled in values. |
Value
A list containing the mean and standard deviation, filled in
values for the censored values, and the censored levels. If method
is "log MLE," then the list also contains the mean and standard deviation of the
natural log-transformed values computed by maximum likelihood.
References
Helsel, D.R. and Cohn, T.A., 1988, Estimation of descriptive statistics for multiply censored water quality data: Water Resources Research v. 24, n. 12, pp.1997-2004
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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