• # sn

• Referenced in 208 articles [sw08059]
• package sn: The Skew-Normal and Related Distributions, such as the Skew-t. Build ... manipulate probability distributions of the skew-normal family and some related ones, notably the skew...
• # mixsmsn

• Referenced in 32 articles [sw06064]
• Finite Mixture of Scale Mixture of Skew-Normal Distributions. Functions to fit finite mixture ... scale mixture of skew-normal (FM-SMSN) distributions...
• # EMMIXcskew

• Referenced in 3 articles [sw16159]
• canonical fundamental skew t-distribution (CFUST) and finite mixtures of this distribution (FM-CFUST ... CFUST distribution provides a flexible family of models to handle non-normal data, with parameters ... capturing skewness and heavy-tails in the data ... formally encompasses the normal, t, and skew-normal distributions as special and/or limiting cases...
• # bssn

• Referenced in 1 article [sw27828]
• bssn: Birnbaum-Saunders Model Based on Skew-Normal Distribution. It provides the density, distribution function ... parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Additionally, it provides the random number ... Birnbaum-Saunders model based on Skew-Normal distribution...
• # MAINT.Data

• Referenced in 1 article [sw17225]
• modelling interval data by Normal and Skew-Normal distributions, considering appropriate parameterizations of the variance ... four different possible configuration structures. The Skew-Normal parameters can be estimated by maximum likelihood...
• # Worm plot

• Referenced in 5 articles [sw08567]
• reference sample follow a standard normal distribution on all ages after a suitably chosen ... parameter curves for the median, variation and skewness, respectively. The major modelling task ... worm plot assesses the age-conditional normality of the transformed data under a variety...
• # ssym

• Referenced in 3 articles [sw14396]
• median and the skewness of the response variable distribution are explicitly modeled by using semi ... splines. Supported distributions for the model error include log-normal, log-Student-t, log-power...
• # dlookr

• Referenced in 2 articles [sw28000]
• negative values to help you understand the distribution and quality of your data. Data exploration ... descriptive statistics of univariate variables, normality tests and outliers, correlation of two variables, and relationship ... variables, imputates missing values and outliers, resolving skewness. And it creates automated reports that support...
• # CensMixReg

• Referenced in 2 articles [sw21090]
• measures of each population depart significantly from normality, for instance, in the presence of heavy ... finite mixtures of multivariate Student-$t$ distributions. This approach allows us to model data with ... flexibility, accommodating multimodality, heavy tails and also skewness depending on the structure of the mixture...
• # Acgh.spline

• Referenced in 1 article [sw18847]
• aCGH dye bias normalization. Motivation: The careful normalization of array-based comparative genomic hybridization (aCGH ... intensity distributions. If left unchecked, this bias is likely to skew data interpretation during downstream...