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sparrpowR  

Power Analysis to Detect Spatial Relative Risk Clusters
View on CRAN: Click here


Download and install sparrpowR package within the R console
Install from CRAN:
install.packages("sparrpowR")

Install from Github:
library("remotes")
install_github("cran/sparrpowR")

Install by package version:
library("remotes")
install_version("sparrpowR", "0.2.8")



Attach the package and use:
library("sparrpowR")
Maintained by
Ian D. Buller
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2024-01-23
Description:
Calculate the statistical power to detect clusters using kernel-based spatial relative risk functions that are estimated using the 'sparr' package. Details about the 'sparr' package methods can be found in the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel density estimation can be found in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
How to cite:
Ian D. Buller (2020). sparrpowR: Power Analysis to Detect Spatial Relative Risk Clusters. R package version 0.2.8, https://cran.r-project.org/web/packages/sparrpowR. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.1 (2020-06-09 12:50), 0.1.2 (2020-06-16 01:40), 0.1.3 (2020-06-17 01:00), 0.2.1 (2021-03-16 10:50), 0.2.2 (2021-06-28 15:30), 0.2.3 (2021-07-16 09:30), 0.2.4 (2021-08-02 22:20), 0.2.5 (2022-02-05 01:30), 0.2.6 (2022-12-02 10:40), 0.2.7 (2023-02-02 02:00)
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Other R packages that sparrpowR depends, imports, suggests or enhances
Complete documentation for sparrpowR
Functions, R codes and Examples using the sparrpowR R package
Some associated functions: jitter_power . pval_correct . sparrpowR-package . spatial_data . spatial_plots . spatial_power . 
Some associated R codes: globals.R . jitter_power.R . package.R . pval_correct.R . spatial_data.R . spatial_plots.R . spatial_power.R . utils.R . zzz.R .  Full sparrpowR package functions and examples
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