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Extract estimates from prepped fits or estimates_vcov object

Source: R/estimates_vcov.R
get_estimates_df.Rd

Generic function to extract estimates. Works with both:

  • prepped_fits tibbles (unnests tidy_obj)

  • estimates_vcov objects (extracts $estimates)

Usage

get_estimates_df(x, ...)

Arguments

x

Either a prepped_fits tibble or an estimates_vcov object

...

Additional arguments passed to methods

Value

A tibble of coefficient estimates

See also

Other component accessors: get_glance_df(), get_vcov()

Examples

library(randomizr)
library(estimatr)

set.seed(123)
dat <- data.frame(Z = complete_ra(100, num_arms = 2), Y = rnorm(100))
fit <- lm_robust(Y ~ Z, data = dat)
prepped <- prep_fit(fit, term = "ZT2")
get_estimates_df(prepped)
#> # A tibble: 1 × 9
#>   term  estimate std.error statistic p.value conf.low conf.high    df outcome
#>   <chr>    <dbl>     <dbl>     <dbl>   <dbl>    <dbl>     <dbl> <dbl> <chr>  
#> 1 ZT2     0.0388     0.192     0.202   0.840   -0.342     0.420    98 Y      

ev <- as_estimates_vcov(prepped)
get_estimates_df(ev)
#> # A tibble: 1 × 10
#>   id    term  estimate std.error statistic p.value conf.low conf.high    df
#>   <chr> <chr>    <dbl>     <dbl>     <dbl>   <dbl>    <dbl>     <dbl> <dbl>
#> 1 1     ZT2     0.0388     0.192     0.202   0.840   -0.342     0.420    98
#> # ℹ 1 more variable: outcome <chr>