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1. ALDqr ALDqr Public

   EM algorithm for estimation of parameters and other methods in a quantile regression.

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2. bssn bssn Public

   It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood …

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3. FMsmsnReg FMsmsnReg Public

   Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.

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4. lqr lqr Public

   It fits a robust linear quantile regression model using a new family of zero-quantile distributions for the error term. This family of distribution includes skewed versions of the Normal, Student's…

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5. ssmsn ssmsn Public

   It provides the density and random number generator for the Scale-Shape Mixtures of Skew-Normal Distributions proposed by Jamalizadeh and Lin (2016) <doi:10.1007/s00180-016-0691-1>.

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6. ssmn ssmn Public

   Performs the EM algorithm for regression models using Skew Scale Mixtures of Normal Distributions.

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