All functions
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ChooseBeta()
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Shiny App to Choose a Beta Curve |
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bar_plot()
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Bar plot of numeric or character data |
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bayesian_crank()
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Computes Posterior Probabilities for Discrete Models |
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beta_area()
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Displays Areas Under a Beta Curve |
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beta_data()
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Simulate random data from a beta curve |
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beta_draw()
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Draw a Beta Curve |
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beta_interval()
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Probability Interval for a Beta Curve |
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beta_prior_post()
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Plot of Two Beta Curves |
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beta_quantile()
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Displays a Quantile of a Beta Curve |
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draw_two_p()
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Plot of Distribution of Two Proportions |
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dsampling()
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Hypergeometric sampling density |
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dspinner()
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Computes likelihoods for spinner outcomes |
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many_normal_plots()
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Graph of several normal curves |
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many_spinner_plots()
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Graphs a collection of spinners |
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normal_area()
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Displays Area Under a Normal Curve |
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normal_draw()
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Draws a Normal Curve |
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normal_interval()
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Probability Interval for a Normal Curve |
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normal_quantile()
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Displays a Quantile of a Normal Curve |
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normal_update()
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Updates a Normal Prior with Normal Data |
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prior_post_plot()
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Graphs prior and posterior probabilities |
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prob_plot()
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Constructs a graph of a probability distribution |
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spinner_bayes()
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Implements Bayes' rule for a spinner problem |
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spinner_data()
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Simulate random data from a spinner |
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spinner_likelihoods()
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Computes likelihood matrix for many spinners |
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spinner_plot()
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Constructs a spinner |
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spinner_probs()
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Display probability distribution for a spinner |
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testing_prior()
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Testing prior for two proportions |
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two_p_summarize()
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Summaries of a probability matrix |
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two_p_update()
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Posterior updating of two proportions |