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DESCRIPTION
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Package: propertee
Version: 0.6.1
Title: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
Description: The Prognostic Regression Offsets with Propagation of
ERrors (for Treatment Effect Estimation) package facilitates
direct adjustment for experiments and observational studies that
is compatible with a range of study designs and covariance
adjustment strategies. It uses explicit specification of clusters,
blocks and treatment allocations to furnish probability of
assignment-based weights targeting any of several average
treatment effect parameters, and for standard error calculations
reflecting these design parameters. For covariance adjustment of
its Hajek and (one-way) fixed effects estimates, it enables
offsetting the outcome against predictions from a dedicated
covariance model, with standard error calculations propagating
error as appropriate from the covariance model.
Authors@R: c(person("Josh", "Errickson", role = c("cre","aut"),
email = "[email protected]"),
person("Josh", "Wasserman", role = "aut",
email = "[email protected]"),
person("Mark", "Fredrickson", role = "ctb",
email = "[email protected]"),
person("Adam", "Sales", role = "ctb",
email = "[email protected]"),
person("Xinhe", "Wang", role = "ctb",
email = "[email protected]"),
person("Ben", "Hansen", role = "aut",
email = "[email protected]"))
License: MIT + file LICENSE
License_is_FOSS: yes
License_restricts_use: no
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Suggests:
knitr,
rmarkdown,
testthat (>= 3.0.0),
multcomp
Config/testthat/edition: 3
Imports:
stats,
methods,
sandwich
Enhances:
robustbase
Depends:
R (>= 4.0.0)
VignetteBuilder: knitr
URL: https://github.com/benbhansen-stats/propertee
BugReports: https://github.com/benbhansen-stats/propertee/issues
Collate:
'StudySpecification.R'
'StudySpecificationAccessors.R'
'SandwichLayer.R'
'SandwichLayerVariance.R'
'StudySpecificationConverters.R'
'StudySpecificationStructure.R'
'StudySpecificationUtilities.R'
'WeightedStudySpecification.R'
'areg.center.R'
'confint_lm.R'
'teeMod.R'
'as.lmitt.R'
'as_data_frame.R'
'assigned.R'
'bread.R'
'c_weightedStudySpecification.R'
'cov_adj.R'
'data.R'
'dichotomy.R'
'expand.model.frame_tee.R'
'get_cov_adj.R'
'get_data_from_model.R'
'get_spec.R'
'glmrobMethods.R'
'lmitt.R'
'lmrob_methods.R'
'merge_preserve_order.R'
'propertee_package.R'
'specification_table.R'
'summary.StudySpecification.R'
'summary.teeMod.R'
'update_by.R'
'weights.R'