This function computes the lower and upper bounds of the confidence interval for a parameter estimate, given its standard error, a specified significance level, and the degrees of freedom from the model.
Arguments
- estimate
A numeric value representing the parameter estimate.
- std_error
A numeric value representing the standard error of the parameter estimate.
- model
A fitted model object that provides the residual degrees of freedom via
df.residual().- alpha
A numeric value representing the significance level. Default is 0.05 (95% confidence interval).
Value
A numeric vector of length two:
First element: Lower bound of the confidence interval.
Second element: Upper bound of the confidence interval.
Examples
# Example using a linear model
data <- data.frame(x = 1:10, y = c(2.3, 2.1, 3.7, 4.5, 5.1, 6.8, 7.3, 7.9, 9.2, 10.1))
lm_model <- lm(y ~ x, data = data)
calc_conf_int(estimate = 0.5, std_error = 0.1, model = lm_model, alpha = 0.05)
#> [1] 0.2693996 0.7306004