Package index
-
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
-
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
-
show(<Design>)
- Show a
Design
-
summary(<Design>)
print(<summary.Design>)
- Summarizing
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
-
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(<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
-
cov_adj()
- Covariance adjustment of
teeMod
model estimates
-
as.SandwichLayer()
- Convert a
PreSandwichLayer
to aSandwichLayer
with aDesign
object
-
subset(<PreSandwichLayer>)
`[`(<PreSandwichLayer>)
PreSandwichLayer
andSandwichLayer
subsetting
-
show(<PreSandwichLayer>)
- Show a
PreSandwichLayer
orSandwichLayer
-
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
-
lmitt()
- Linear Model for Intention To Treat
-
assigned()
adopters()
a.()
z.()
- Obtain Treatment from Design
-
as.lmitt()
as.teeMod()
- Convert
lm
object intoteeMod
-
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
-
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