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.tar.gz(r-4.5-noble)SPORTSCausal_1.0.tar.gz(r-4.4-noble)
SPORTSCausal_1.0.tgz(r-4.4-emscripten)SPORTSCausal_1.0.tgz(r-4.3-emscripten)
SPORTSCausal.pdf |SPORTSCausal.html✨
SPORTSCausal/json (API)

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

Peer review:

Datasets:
  • ad_cost - Advertising cost: a real experimental data under spillover effect

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

1 exports 0.00 score 58 dependencies 170 downloads

Last updated 3 years agofrom:665b20691b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 19 2024
R-4.5-linuxOKAug 19 2024

Exports:sportscausal

Dependencies:assertthatbackportsbase64encBoomBoomSpikeSlabbstsCausalImpactclicolorspaceconfigfansifarvergenericsggplot2gluegtablehereisobandjsonlitekeraslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpngprocessxpsR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrprojrootrstudioapiscalestensorflowtfautographtfrunstibbletidyselectutf8vctrsviridisLitewhiskerwithrxtsyamlzeallotzoo