precision_stats: Compute Stats on Precision Efficiency
In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback
precision_stats R Documentation
Compute Stats on Precision Efficiency
Description
Compute stats on precision efficiency.
Usage
precision_stats(data, models, times = 1000, seed = NULL, none.name = "None")
bootprecision.r(data, models, times = 1000, seed = NULL, none.name = "None")
Arguments
data
Dataframe of raw data.
models
List of models with specs.
times
Nb of boostrap iterations.
seed
Boostrap seed.
none.name
Name of the term when no precision variable is used.
Details
Compute stats on precision efficiency using bootstrapping.
Value
List with original dataframe of stats and original models.
See Also
precision_eff
Examples
# An example can be found in the location identified in the
# source section above at the github site
# https://github.com/FrankLef/FundamentalsCausalInference.
FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.
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| precision_stats | R Documentation |
Compute Stats on Precision Efficiency
Description
Compute stats on precision efficiency.
Usage
precision_stats(data, models, times = 1000, seed = NULL, none.name = "None")
bootprecision.r(data, models, times = 1000, seed = NULL, none.name = "None")
Arguments
data |
Dataframe of raw data. |
models |
List of models with specs. |
times |
Nb of boostrap iterations. |
seed |
Boostrap seed. |
none.name |
Name of the term when no precision variable is used. |
Details
Compute stats on precision efficiency using bootstrapping.
Value
List with original dataframe of stats and original models.
See Also
precision_eff
Examples
# An example can be found in the location identified in the
# source section above at the github site
# https://github.com/FrankLef/FundamentalsCausalInference.
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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