• # RM-MEDA

• Referenced in 38 articles [sw08554]
• based multiobjective estimation of distribution algorithm (RM-MEDA) for continuous multiobjective optimization problems with variable ... probability distribution whose centroid is a (m - 1)-D piecewise continuous manifold. The local principal...
• # CompEcon

• Referenced in 50 articles [sw04789]
• general functions and for common probability distributions, general solvers for Ordinary Differential Equations (both initial ... value problems), routines for solving discrete and continuous time dynamic programming problems, and a general...
• # Compounding

• Referenced in 6 articles [sw11221]
• continuous distributions with discrete distributions. We demonstrate its use by computing values of cumulative distribution ... function, probability density function, quantile function and hazard rate function, generating random samples from ... population with compounding distribution, and computing mean, variance, skewness and kurtosis of a random variable ... compounding distribution. We consider 24 discrete distributions which can be compounded with any continuous distribution...
• # LindleyR

• Referenced in 6 articles [sw15316]
• Modifications. Implements the probability density function, quantile function, cumulative distribution function, random number generation ... hazard rate function for the continuous one-parameter Lindley distribution as well...
• # Bolsig

• Referenced in 24 articles [sw12508]
• collision probabilities are assumed to be uniform; the angular dependence of the electron distribution ... Boltzmann equation reduces to a convection-diffusion continuity-equation with a non-local source term...
• # COCONUT

• Referenced in 40 articles [sw04760]
• consortium. Since then it has been under continuous improvement and stabilization, in particular, during ... special license regulations are contained in the distribution, and they can be read here ... addition, it is designed for distributed computing, and will probably be developed further...
• # simctest

• Referenced in 10 articles [sw09309]
• with a user-specified length and coverage probability can be constructed. We show that ... situations where the distribution of the $p$-value is absolutely continuous or discrete with finite...
• # MCDB

• Referenced in 1 article [sw12046]
• easily handle arbitrary joint probability distributions over discrete or continuous attributes, arbitrarily complex SQL queries...
• # phytools

• Referenced in 14 articles [sw10003]
• recently extinct lineage on a tree using continuous character data with ML; plotting lineage accumulation ... trait are sampled from their posterior probability distribution under a model; conducting a multiple...
• # aPC

• Referenced in 1 article [sw40982]
• towards arbitrary distributions with arbitrary probability measures, which can be either discrete, continuous, or discretized ... continuous and can be specified either analytically (as probability density/cumulative distribution functions), numerically as histogram...
• # QMPE

• Referenced in 2 articles [sw09192]
• probability estimator (QMPE), an open-source ANSI Fortran 90 program for response time distribution estimation.1 ... Gumbel (1958) distributions, along with three “shifted” distributions (i.e., distributions with a parameter-dependent lower ... either the standard continuous maximum likelihood (CML) method or quantile maximum probability (QMP; Heathcote & Brown ... press). We review the properties of each distribution and the theoretical evidence showing that...
• # SHAVE

• Referenced in 2 articles [sw20171]
• SHAVE that approximates the transient distribution of a continuous-time Markov population process by combining ... moment-based and state-based representations of probability distributions. As an intermediate step, SHAVE constructs...
• # AUTO-IK

• Referenced in 2 articles [sw21228]
• continuous data, computation and modeling of indicator semivariograms, modeling of probability distributions at unmonitored locations...
• # ROPI

• Referenced in 5 articles [sw11092]
• consider uncertain optimizition problems where no probability distribution is known. We introduce the approaches RecFeas ... algorithmic aspects. We then consider both continuous and discrete problem applications of robust optimization: Linear...
• # OT-Flow

• Referenced in 2 articles [sw42065]
• Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. A normalizing flow ... mapping between an arbitrary probability distribution and a standard normal distribution; it can be used ... flows typically consist of carefully chosen components. Continuous normalizing flows (CNFs) are mappings obtained...
• # gtools

• Referenced in 5 articles [sw30324]
• factor variable from the quantiles of a continuous variable (’quantcut’), - enumerate permutations and combinations (’combinations ... logratio2foldchange’, ’foldchange2logratio’), - calculate probabilities and generate random numbers from Dirichlet distributions (’rdirichlet’, ’ddirichlet’), - apply...
• # Symbulate

• Referenced in 1 article [sw30830]
• including: probability spaces; events; discrete and continuous random variables; joint, conditional, and marginal distributions; stochastic...
• # MvBinary

• Referenced in 1 article [sw15146]
• Distribution. Variables are grouped into independent blocks. Each variable is described by two continuous parameters ... marginal probability and its dependency strength with the other block variables), and one binary parameter...