Package: scqe 1.0.0

scqe: Stability Controlled Quasi-Experimentation

Functions to implement the stability controlled quasi-experiment (SCQE) approach to study the effects of newly adopted treatments that were not assigned at random. This package contains tools to help users avoid making statistical assumptions that rely on infeasible assumptions. Methods developed in Hazlett (2019) <doi:10.1002/sim.8717>.

Authors:Kirsten Landsiedel [cre], Hazlett Chad [aut], Wulf Ami [ctr], Pinkelman Colleen [ctr], Christopher Gandrud [ctr]

scqe_1.0.0.tar.gz
scqe_1.0.0.zip(r-4.7-any)scqe_1.0.0.zip(r-4.6-any)scqe_1.0.0.zip(r-4.5-any)
scqe_1.0.0.tgz(r-4.6-any)scqe_1.0.0.tgz(r-4.5-any)
scqe_1.0.0.tar.gz(r-4.7-any)scqe_1.0.0.tar.gz(r-4.6-any)
scqe_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
scqe/json (API)

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

On CRAN:

Conda:

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

1.00 score 3 scripts 270 downloads 9 exports 70 dependencies

Last updated from:8f216f6ba7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK126
source / vignettesOK202
linux-releaseOK117
macos-releaseOK146
macos-oldrelOK124
windows-develOK68
windows-releaseOK57
windows-oldrelOK75
wasm-releaseOK106

Exports:delta_optim_SCQE_2Cdelta.optim.scqedelta.optim.scqe.1cfulldelta.optim.scqe2scqescqe.1cfullscqe.1csummscqe.2cfullscqe.2csumm

Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo