Package: SPORTSCausal 1.0

Feiyu Yue

SPORTSCausal: Spillover Time Series Causal Inference

A time series causal inference model for Randomized Controlled Trial (RCT) under spillover effect. 'SPORTSCausal' (Spillover Time Series Causal Inference) separates treatment effect and spillover effect from given responses of experiment group and control group by predicting the response without treatment. It reports both effects by fitting the Bayesian Structural Time Series (BSTS) model based on 'CausalImpact', as described in Brodersen et al. (2015) <doi:10.1214/14-AOAS788>.

Authors:Zihao Zheng and Feiyu Yue

SPORTSCausal_1.0.tar.gz
SPORTSCausal_1.0.zip(r-4.7-any)SPORTSCausal_1.0.zip(r-4.6-any)
SPORTSCausal_1.0.tar.gz(r-4.7-any)SPORTSCausal_1.0.tar.gz(r-4.6-any)
SPORTSCausal_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SPORTSCausal/json (API)

# Install 'SPORTSCausal' in R:
install.packages('SPORTSCausal', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • ad_cost - Advertising cost: a real experimental data under spillover effect

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 220 downloads 1 exports 51 dependencies

Last updated from:665b20691b. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK107
source / vignettesOK160
linux-releaseOK103
windows-develOK89
windows-releaseOK66
wasm-releaseOK114

Exports:sportscausal

Dependencies:assertthatbackportsbase64encBoomBoomSpikeSlabbstsCausalImpactcliconfigcpp11farvergenericsggplot2gluegtablehereisobandjsonlitekeraslabelinglatticelifecyclemagrittrMASSMatrixpngprocessxpsR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrprojrootrstudioapiS7scalestensorflowtfautographtfrunstidyselectvctrsviridisLitewhiskerwithrxtsyamlzeallotzoo