
Package index
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ddf-class - An S4 class to represent a discrete distribution with finite support
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ddf() - Create new
ddfobjects
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ddf_from_frequencies() - Create new
ddfobjects from absolute frequencies
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supp() - Get the support of a
ddfobject
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probs() - Get the probabilities of a
ddfobject
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desc() - Get the description of a
ddfobject
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`desc<-`() - Set the description of a
ddfobject
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`-`(<ddf>,<missing>) - Multiply the support of a distribution with -1
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shift() - Shift a distribution
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benford() - Benford's law
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bernoulli() - The Bernoulli distribution
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beta_binomial() - The beta-binomial distribution
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bin() - The binomial distribution
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hypergeometric() - The hypergeometric distribution
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negative_hypergeometric() - The negative hypergeometric distribution
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rademacher() - The Rademacher distribution
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unif() - The discrete uniform distribution
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zipf() - The Zipf distribution
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geometric() - The geometric distribution
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negative_bin() - The negative binomial distribution
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pois() - The Poisson distribution
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expected_value()mean(<ddf>) - Calculate the expected value of distributions
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medians() - Calculate medians of distributions
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modes() - Calculate modes of distributions
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standard_deviation() - Calculate the standard deviation of distributions
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variance() - Calculate the variance of distributions
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iqr() - Calculate the interquartile range of distributions
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distribution_range() - Calculate the range of distributions
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central_moment() - Calculate central moments of distributions
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moment() - Calculate moments of distributions
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standardized_moment() - Calculate standardized moments of distributions
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skew() - Calculate the skewness of distributions
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kurtosis() - Calculate the kurtosis of distributions
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excess_kurtosis() - Calculate the excess kurtosis of distributions
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decile() - Calculate deciles of distributions
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percentile() - Calculate percentiles of distributions
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quantiles() - Calculate quantiles of distributions
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quartile() - Calculate quartiles of distributions
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pmf() - Probability mass function
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cdf() - Cumulative distribution function
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samples() - Random samples from a distribution
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plot(<ddf>,<missing>) - Plot a distribution
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plot_cdf() - Plot the CDF of a distribution
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plot_pmf() - Plot the PMF of a distribution
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conv()`*`(<ddf>,<ddf>) - Convolve two discrete distributions
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conv_n() - Calculate the n-fold convolution of a distribution with itself
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convolve_cpp() - Convolve two discrete distributions