• # tmvtnorm

• Referenced in 17 articles [sw08073]
• package tmvtnorm: Truncated Multivariate Normal and Student t Distribution. Random number generation for the truncated ... multivariate normal and Student t distribution. Computes probabilities, quantiles and densities, including one-dimensional ... mean and covariance matrix) for the double-truncated multinormal case...
• # tlmec

• Referenced in 11 articles [sw11119]
• quantification of the assay used. Although normal distributions are commonly assumed for random effects ... outliers and the need for heavy tailed distributions for random effects and residual errors motivate ... NLMEC/LMEC) based on the multivariate Student-t distribution. An ECM algorithm is developed for computing ... mean and variance of a truncated multivariate-t distribution. The proposed algorithm is implemented...
• # lmomco

• Referenced in 5 articles [sw14732]
• Tau34-squared Test for Normality is available. Distribution support with ”L” (LMs), ”TL” (TLMs ... Lambda [L,TL], Gen. Logistic [L), Gen. Normal [L], Gen. Pareto [L+RC, TL], Govindarajulu ... Residual Quantile Function [L], Normal [L], 3-p log-Normal [L], Pearson Type ... Slash [TL], 3-p Student t [L], Truncated Exponential [L], Wakeby [L], and Weibull...
• # ExtDist

• Referenced in 0 articles [sw21154]
• weighted samples; the current set of distributions included are: the standard beta, The four-parameter ... Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal, truncated ... normal, symmetric-reflected truncated beta, standard symmetric-reflected truncated beta, triangular, uniform, and Weibull distributions...
• # SMNCensReg

• Referenced in 3 articles [sw19243]
• Pearson type VII, slash, contaminated normal, among others distributions, are contained in this class ... mean and variance of certain truncated SMN distributions. The proposed algorithm is implemented...
• 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 ... mean and variance of the multivariate truncated Student-$t$ distributions. Further, a general information-based...