Given the parameters of a conditional Gaussian distribution, aout.cg identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.cg
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Given the parameters of a hypergeometric distribution, aout.hyper identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.hyper
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Given the parameters of a Pareto distribution, aout.pareto identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.pareto
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Given the parameters of a g-and-h distribution, aout.gandh identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.gandh
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Given the parameters of a multivariate normal distribution, aout.mvnorm identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.mvnorm
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Given the parameters of a χ^2 distribution, aout.chisq identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.chisq
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Given the parameters of a Poisson distribution, aout.pois identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.pois
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Given the parameters of a Weibull distribution, aout.weibull identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.weibull
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Given the parameters of a logistic distribution, aout.logis identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.logis
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Given the parameters of a Binomial distribution, aout.binom identifies α-outliers in a given data set.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: aout.binom
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