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Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.

copied from cf-post-staging / r-causalimpact
Type Size Name Uploaded Downloads Labels
conda 422.4 kB | noarch/r-causalimpact-1.4.1-r45hc72bb7e_0.conda  6 months and 16 days ago 463 main
conda 422.1 kB | noarch/r-causalimpact-1.4.1-r44hc72bb7e_0.conda  6 months and 16 days ago 365 main
conda 580.0 kB | noarch/r-causalimpact-1.3.0-r45hc72bb7e_2.conda  6 months and 24 days ago 386 main
conda 580.5 kB | noarch/r-causalimpact-1.3.0-r44hc72bb7e_2.conda  6 months and 24 days ago 396 main
conda 580.4 kB | noarch/r-causalimpact-1.3.0-r44hc72bb7e_1.conda  1 year and 8 months ago 1322 main
conda 579.8 kB | noarch/r-causalimpact-1.3.0-r43hc72bb7e_1.conda  1 year and 8 months ago 1505 main
conda 579.5 kB | noarch/r-causalimpact-1.3.0-r42hc72bb7e_0.conda  2 years and 2 months ago 3808 main
conda 579.6 kB | noarch/r-causalimpact-1.3.0-r43hc72bb7e_0.conda  2 years and 2 months ago 1501 main

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