propensity_weight: Perform propensity weighting.
In AnthonyRentsch/surveyutils: Utility Functions for Survey Analysis
View source: R/propensity_weight.R
propensity_weight R Documentation
Perform propensity weighting.
Description
Computes the inverse propensity that each sample observation
was included in the sample as opposed to being from the population.
Usage
propensity_weight(sample_df, synthetic_population, model = "logreg",
factor_cols = NA, predictor_cols = NA)
Arguments
sample_df
dataframe
synthetic_population
dataframe
model
string ('rf', 'logreg')
factor_cols
vector
predictor_cols
vector
Value
weighted_sample (dataframe)
AnthonyRentsch/surveyutils documentation built on Feb. 19, 2024, 9:15 a.m.
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View source: R/propensity_weight.R
| propensity_weight | R Documentation |
Perform propensity weighting.
Description
Computes the inverse propensity that each sample observation was included in the sample as opposed to being from the population.
Usage
propensity_weight(sample_df, synthetic_population, model = "logreg",
factor_cols = NA, predictor_cols = NA)
Arguments
sample_df |
dataframe |
synthetic_population |
dataframe |
model |
string ('rf', 'logreg') |
factor_cols |
vector |
predictor_cols |
vector |
Value
weighted_sample (dataframe)
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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