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-4.5)scqe_1.0.0.zip(r-4.4)scqe_1.0.0.zip(r-4.3)
scqe_1.0.0.tgz(r-4.4-any)scqe_1.0.0.tgz(r-4.3-any)
scqe_1.0.0.tar.gz(r-4.5-noble)scqe_1.0.0.tar.gz(r-4.4-noble)
scqe_1.0.0.tgz(r-4.4-emscripten)scqe_1.0.0.tgz(r-4.3-emscripten)
scqe.pdf |scqe.html
scqe/json (API)

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

Peer review:

On CRAN:

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 127 downloads 9 exports 64 dependencies

Last updated 3 years agofrom:8f216f6ba7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-winOKOct 21 2024
R-4.5-linuxOKOct 21 2024
R-4.4-winOKOct 21 2024
R-4.4-macOKOct 21 2024
R-4.3-winOKOct 21 2024
R-4.3-macOKOct 21 2024

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

Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangsandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo