Package: simpowa 1.0.3

simpowa: Power Analysis and Sample Size Calculation for Semi-Field Vector Control Trials

Uses simulations from generalized linear mixed-effects models to incorporate random effects across multiple sources and levels of variation, and a dispersion parameter to account for overdispersion and capture unexplained variability. Covers design scenarios for both short-term and long-term trials evaluating the impact of single or combined vector control interventions. Methods build on Kipingu et al. (2025) <doi:10.1186/s12936-025-05454-y> and Johnson et al. (2015) <doi:10.1111/2041-210X.12306>.

Authors:Andrea M. Kipingu [aut, cre], Mafalda Viana [aut], Paul C.D. Johnson [aut], Samson S. Kiware [aut]

simpowa_1.0.3.tar.gz
simpowa_1.0.3.zip(r-4.7)simpowa_1.0.3.zip(r-4.6)simpowa_1.0.3.zip(r-4.5)
simpowa_1.0.3.tgz(r-4.6-any)simpowa_1.0.3.tgz(r-4.5-any)
simpowa_1.0.3.tar.gz(r-4.7-any)simpowa_1.0.3.tar.gz(r-4.6-any)
simpowa_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
simpowa/json (API)

# Install 'simpowa' in R:
install.packages('simpowa', repos = c('https://akipingu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/akipingu/simpowa/issues

On CRAN:

Conda:

power-analysissample-size-calculationsemi-fieldsemi-field-experimentssemi-field-trialssimpowasimpowa-r-packagesimulationsimulation-based-power-analysis

3.78 score 1 stars 474 downloads 20 exports 38 dependencies

Last updated from:6dbdc68481. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK190
source / vignettesOK199
linux-release-x86_64OK195
macos-release-arm64OK165
macos-oldrel-arm64OK241
windows-develOK130
windows-releaseOK118
windows-oldrelOK135
wasm-releaseOK128

Exports:sim.mosq.longsfe.comintsim.mosq.longsfe.sinintsim.mosq.shortsfe.comintsim.mosq.shortsfe.sinintsim.plot.longsfe.comintsim.plot.longsfe.sinintsim.plot.shortsfe.comintsim.plot.shortsfe.sinintsim.power.longsfe.comintsim.power.longsfe.sinintsim.power.shortsfe.comintsim.power.shortsfe.sinintsim.pval.longsfe.comintsim.pval.longsfe.sinintsim.pval.shortsfe.comintsim.pval.shortsfe.sinintsim.scen.longsfe.comintsim.scen.longsfe.sinintsim.scen.shortsfe.comintsim.scen.shortsfe.sinint

Dependencies:bootclicpp11dplyrfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalestibbletidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Power Analysis and Sample Size Calculation for Semi-Field Vector Control Trialssimpowa-package simpowa
Simulate Mosquito Count Data for Long-Term Semi-Field Experiment Testing Combined Interventionssim.mosq.longsfe.comint
Simulate Mosquito Count Data for Long-Term Semi-Field Experiment Testing Single Interventionsim.mosq.longsfe.sinint
Simulate Mosquito Count Data for Short-Term Semi-Field Experiment Testing Combined Interventionssim.mosq.shortsfe.comint
Simulate Mosquito Count Data for Short-Term Semi-Field Experiment Testing Single Interventionsim.mosq.shortsfe.sinint
Plot Mosquito Counts for Long-Term Semi-Field Experiment Testing Combined Interventionssim.plot.longsfe.comint
Plot Mosquito Counts for Long-Term Semi-Field Experiment Testing Single Interventionsim.plot.longsfe.sinint
Plot Mosquito Counts for Short-Term Semi-Field Experiment Testing Combined Interventionssim.plot.shortsfe.comint
Plot Mosquito Counts from Short-Term Semi-Field Experiment Testing Single Interventionsim.plot.shortsfe.sinint
Estimate Empirical Power for Long-Term Semi-Field Experiment Testing Combined Interventionssim.power.longsfe.comint
Estimate Empirical Power for Long-Term Semi-Field Experiment Testing Single Interventionsim.power.longsfe.sinint
Estimate Empirical Power for Short-Term Semi-Field Experiment Testing Combined Interventionsim.power.shortsfe.comint
Estimate Empirical Power for Short-Term Semi-Field Experiment Testing Single Interventionsim.power.shortsfe.sinint
Extract p-value from Simulated GLMM for Long-Term Semi-Field Experiment Testing Combined Interventionssim.pval.longsfe.comint
Extract p-value from Simulated GLMM for Long-Term Semi-Field Experiment Testing Single Interventionsim.pval.longsfe.sinint
Extract p-value from Simulated GLMM for Short-Term Semi-Field Experiment Testing Combined Interventionssim.pval.shortsfe.comint
Extract p-values from Simulated GLMM for Short-Term Semi-Field Experiment Testing Single Interventionsim.pval.shortsfe.sinint
Simulate Design Scenarios for Long-Term Semi-Filed Experiment Testing Combined Interventionssim.scen.longsfe.comint
Simulate Design Scenarios for Long-Term Semi-Field Experiment Testing Single Interventionsim.scen.longsfe.sinint
Simulate Design Scenarios for Short-Term Semi-Field Experiment Testing Combined Interventionssim.scen.shortsfe.comint
Simulate Design Scenarios for Short-Term Semi-Field Experiment Testing Single Interventionsim.scen.shortsfe.sinint