Confidence intervals provide a range of values that are likely to contain the true value of a population parameter. In R, confidence intervals can be calculated using the `confint()` function, which is included in the base R packages. This function takes in a fitted model object, such as a linear regression model, and returns the confidence intervals for the estimated coefficients. By specifying the confidence level, typically 95%, users can determine the interval within which the true parameter value is likely to fall. Confidence intervals are a useful tool for assessing the precision and reliability of estimates in statistical analysis.

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