Package index • propertee

Design

Creation of `Design` Objects

rct_design() rd_design() obs_design(): Generates a Design object with the given specifications.

unit_of_assignment() unitid() cluster() uoa() block() forcing(): Special terms in Design creation formula

as_rct_design() as_obs_design() as_rd_design(): Convert Design between types

Accessors/Replacers for `Design` Objects

treatment() `treatment<-`() units_of_assignment() `units_of_assignment<-`() clusters() `clusters<-`() unitids() `unitids<-`() blocks() `blocks<-`() has_blocks() forcings() `forcings<-`(): Accessors and Replacers for Design objects

has_binary_treatment(): Check whether treatment stored in a Design object is binary

Summary and print methods

show(<Design>): Show a Design

summary(<Design>) print(<summary.Design>): Summarizing Design objects

Structure of `Design` objects

get_structure() show(<DesignStructure>): Design Structure Information

design_table() dtable(): Table of elements from a Design

var_table() var_names(): Extract Variable Names from Design

Utility Functions for `Design` Objects

identify_small_blocks(): Identify fine strata

design_data_concordance(): Check for variable agreement within units of assignment

identical_Designs(): Test equality of two Design objects

Weights

Functions to create or interact with Weights

ett() ate(): Generate Direct Adjusted Weights for Treatment Effect Estimation

Working with `WeightedDesign` objects

weights(<WeightedDesign>): Extract Weights from WeightedDesign

`+`(<WeightedDesign>,<numeric>) `+`(<numeric>,<WeightedDesign>) `-`(<WeightedDesign>,<numeric>) `-`(<numeric>,<WeightedDesign>) `*`(<WeightedDesign>,<numeric>) `*`(<numeric>,<WeightedDesign>) `/`(<WeightedDesign>,<numeric>) `/`(<numeric>,<WeightedDesign>): WeightedDesign Operations

c(<WeightedDesign>): Concatenate weights

subset(<WeightedDesign>) `[`(<WeightedDesign>): WeightedDesign subsetting

show(<WeightedDesign>): Show a WeightedDesign

Covariance Adjustment & SandwichLayer

cov_adj(): Covariance adjustment of teeMod model estimates

as.SandwichLayer(): Convert a PreSandwichLayer to a SandwichLayer with a Design object

subset(<PreSandwichLayer>) `[`(<PreSandwichLayer>): PreSandwichLayer and SandwichLayer subsetting

show(<PreSandwichLayer>): Show a PreSandwichLayer or SandwichLayer

bread(<teeMod>): Extract bread matrix from a teeMod model fit

estfun(<teeMod>): Extract empirical estimating equations from a teeMod model fit

estfun(<lmrob>) bread(<lmrob>): Generate matrix of estimating equations for lmrob() fit

estfun(<glmrob>) bread(<glmrob>): Extract empirical estimating equations from a glmbrob model fit

Estimating Model

Functions to carry out the treatment estimation accounting for the Design

lmitt(): Linear Model for Intention To Treat

assigned() adopters() a.() z.(): Obtain Treatment from Design

as.lmitt() as.teeMod(): Convert lm object into teeMod

confint(<teeMod>): Confidence intervals with standard errors provided by vcov.teeMod()

show(<teeMod>): Show a teeMod

summary(<teeMod>) print(<summary.teeMod>): Summarizing teeMod objects

vcov(<teeMod>): Compute variance-covariance matrix for fitted teeMod model

vcov_tee() .vcov_DB0(): Variance/Covariance for teeMod objects

Data

STARdata: STAR data

lsoSynth: Synthethic Regression Discontinuity Data

schooldata studentdata: Student data

simdata: Simulated data

michigan_school_pairs: Intervention data from a pair-matched study of schools in Michigan