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truncnorm

R package truncnorm: Truncated normal distribution. r/d/p/q functions for the truncated normal distribution.

Keywords for this software

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  • R package
  • Journal of Statistical Software
  • cognitive psychometrics
  • Metropolis-Hastings within Gibbs algorithm
  • loss function
  • vine
  • Neural and Evolutionary Computing
  • Bayesian estimation
  • numerical optimization
  • asymmetric Laplace distribution
  • estimation of distribution algorithm
  • random parameters
  • response time data
  • chaotic stochastic difference models
  • black-box optimization
  • Bayesian inference
  • preference heterogeneity
  • differential equation models
  • tables
  • conditional autoregressive priors
  • latent class
  • importance sampling
  • diffusion model
  • R
  • mixed multinomial logit
  • copula
  • binary quantile regression
  • arXiv_publication
  • multimodal posterior
  • spatio-temporal areal unit modeling

  • URL: cran.r-project.org/web...
  • Code
  • InternetArchive
  • Manual: cran.r-project.org/web...
  • Authors: Heike Trautmann; Detlef Steuer; Olaf Mersmann; Björn Bornkamp
  • Dependencies: R

  • Add information on this software.


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  • BaySTDetect
  • testthat
  • maxLik
  • bayesm
  • Mlogit
  • CARBayesST
  • poLCA
  • vines
  • spam
  • truncdist
  • Show less...

References in zbMATH (referenced in 8 articles )

Showing results 1 to 8 of 8.
y Sorted by year (citations)

  1. Boehm, Udo; Marsman, Maarten; van der Maas, Han L. J.; Maris, Gunter: An attention-based diffusion model for psychometric analyses (2021)
  2. Joukar, A.; Ramezani, M.; Mirmostafaee, S. M. T. K.: Estimation of (P(X > Y)) for the power Lindley distribution based on progressively type II right censored samples (2020)
  3. Stojkova, Biljana Jonoska; Campbell, David A.: Incremental mixture importance sampling with shotgun optimization (2019)
  4. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  5. Snider, Joseph: Indistinguishable synapses lead to sparse networks (2018)
  6. Mauricio Sarrias and Ricardo Daziano: Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package (2017) not zbMATH
  7. Ji, Yonggang; Lin, Nan; Zhang, Baoxue: Model selection in binary and Tobit quantile regression using the Gibbs sampler (2012)
  8. Yasser Gonzalez-Fernandez, Marta Soto: copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas (2012) arXiv

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    • Top MSC classes
      • 62 Statistics
      • 65 Numerical analysis
      • 92 Applications of...

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