prob_lmod_td: Estimate s sampling distribution by Bootstrapping
In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback
prob_lmod_td R Documentation
Estimate s sampling distribution by Bootstrapping
Description
Estimate s sampling distribution by bootstrapping.
Usage
prob_lmod_td(data, formula = Y ~ T + A + H, condition.names = NULL)
Arguments
data
Dataframe of raw data.
formula
The model formula.
condition.names
Character vector of conditioned variable names. If
NULL all independent variables will be used.
Details
Estimate a sampling distribution. See details in chapter 2, section 2.4.
The package rsample is used.
Value
Dataframe in a useable format for rsample::bootstraps.
FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.
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| prob_lmod_td | R Documentation |
Estimate s sampling distribution by Bootstrapping
Description
Estimate s sampling distribution by bootstrapping.
Usage
prob_lmod_td(data, formula = Y ~ T + A + H, condition.names = NULL)
Arguments
data |
Dataframe of raw data. |
formula |
The model formula. |
condition.names |
Character vector of conditioned variable names. If
|
Details
Estimate a sampling distribution. See details in chapter 2, section 2.4.
The package rsample is used.
Value
Dataframe in a useable format for rsample::bootstraps.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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