logrr.test: Global test of clustering using log ratio of spatial...
In smacpod: Statistical Methods for the Analysis of Case-Control Point Data
logrr.test R Documentation
Global test of clustering using log ratio of spatial
densities
Description
logrr.test performs a global test of clustering
for comparing cases and controls using the log ratio of
spatial densities based on the method of Kelsall and
Diggle (1995).
Usage
logrr.test(x)
Arguments
x
An logrrenv object from the
logrr function.
Value
A list providing the observed test statistic
(islogrr) and the estimated p-value
(pvalue).
Author(s)
Joshua French
References
Waller, L.A. and Gotway, C.A. (2005). Applied
Spatial Statistics for Public Health Data. Hoboken, NJ:
Wiley.
Kelsall, Julia E., and Peter J. Diggle. "Non-parametric
estimation of spatial variation in relative risk."
Statistics in Medicine 14.21-22 (1995): 2335-2342.
Examples
data(grave)
## Not run:
logrrenv = logrr(grave, nsim = 9)
logrr.test(logrrenv)
## End(Not run)
smacpod documentation built on Oct. 31, 2024, 1:08 a.m.
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| logrr.test | R Documentation |
Global test of clustering using log ratio of spatial densities
Description
logrr.test performs a global test of clustering
for comparing cases and controls using the log ratio of
spatial densities based on the method of Kelsall and
Diggle (1995).
Usage
logrr.test(x)
Arguments
x |
An |
Value
A list providing the observed test statistic
(islogrr) and the estimated p-value
(pvalue).
Author(s)
Joshua French
References
Waller, L.A. and Gotway, C.A. (2005). Applied Spatial Statistics for Public Health Data. Hoboken, NJ: Wiley.
Kelsall, Julia E., and Peter J. Diggle. "Non-parametric estimation of spatial variation in relative risk." Statistics in Medicine 14.21-22 (1995): 2335-2342.
Examples
data(grave)
## Not run:
logrrenv = logrr(grave, nsim = 9)
logrr.test(logrrenv)
## End(Not run)
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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