In R, a confidence interval can be calculated using the function `confint()`. This function takes as input a model object (such as a linear regression model) and a specified confidence level (typically 95%). The function then calculates and returns the confidence interval for the estimated coefficients or parameters of the model. The confidence interval provides a range of values within which we can be reasonably confident that the true parameter value lies, based on the data and the specified confidence level.

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