UG: UG scan procedure
In HDSpatialScan: Multivariate and Functional Spatial Scan Statistics
UG R Documentation
UG scan procedure
Description
This function computes the UG (Univariate Gaussian scan statistic).
Usage
UG(data, MC = 999, typeI = 0.05, initialization, permutations)
Arguments
data
vector. Vector of the data, each element corresponds to a site (or an individual if the observations are by individuals and not by sites).
MC
numeric. Number of Monte-Carlo permutations to evaluate the statistical significance of the clusters. By default: 999.
typeI
numeric. The desired type I error. A cluster will be evaluated as significant if its associated p-value is less than typeI. By default 0.05.
initialization
list. Initialization for the scan procedure (see InitScan for more details).
permutations
matrix. Indices of permutations of the data.
Value
An object of class ResScanOutputUni.
References
Martin Kulldorff and Lan Huang and Kevin Konty (2009). A Scan Statistic for Continuous Data Based on the Normal Probability Model. International Journal of Health Geographics, 8 (58).
HDSpatialScan documentation built on May 31, 2023, 7:52 p.m.
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| UG | R Documentation |
UG scan procedure
Description
This function computes the UG (Univariate Gaussian scan statistic).
Usage
UG(data, MC = 999, typeI = 0.05, initialization, permutations)
Arguments
data |
vector. Vector of the data, each element corresponds to a site (or an individual if the observations are by individuals and not by sites). |
MC |
numeric. Number of Monte-Carlo permutations to evaluate the statistical significance of the clusters. By default: 999. |
typeI |
numeric. The desired type I error. A cluster will be evaluated as significant if its associated p-value is less than typeI. By default 0.05. |
initialization |
list. Initialization for the scan procedure (see |
permutations |
matrix. Indices of permutations of the data. |
Value
An object of class ResScanOutputUni.
References
Martin Kulldorff and Lan Huang and Kevin Konty (2009). A Scan Statistic for Continuous Data Based on the Normal Probability Model. International Journal of Health Geographics, 8 (58).
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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