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corrected typo
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inst/bootlm.m

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% - 'fpr': The minimum false positive risk (FPR) for each p-value
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% - 'N': The number of independent sampling units used to compute CIs
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% - 'prior': The prior used for Bayesian bootstrap. This will return a
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% scalar for regression coeefficients, or a P x 1 or P x 2
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% scalar for regression coefficients, or a P x 1 or P x 2
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% matrix for estimated marginal means or posthoc tests
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% respectively, where P is the number of parameter estimates.
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% - 'levels': A cell array with the levels of each predictor.

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