truncnorm

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

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 9 articles )

Showing results 1 to 9 of 9.
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. Hui, Jianan; Flegal, James M.; Johnson, Alicia: Geometric ergodicity of a more efficient conditional Metropolis-Hastings algorithm (2021)
  3. 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)
  4. Stojkova, Biljana Jonoska; Campbell, David A.: Incremental mixture importance sampling with shotgun optimization (2019)
  5. Duncan Lee; Alastair Rushworth; Gary Napier: Spatio-Temporal Areal Unit Modeling in R with Conditional Autoregressive Priors Using the CARBayesST Package (2018) not zbMATH
  6. Snider, Joseph: Indistinguishable synapses lead to sparse networks (2018)
  7. Mauricio Sarrias and Ricardo Daziano: Multinomial Logit Models with Continuous and Discrete Individual Heterogeneity in R: The gmnl Package (2017) not zbMATH
  8. Ji, Yonggang; Lin, Nan; Zhang, Baoxue: Model selection in binary and Tobit quantile regression using the Gibbs sampler (2012)
  9. Yasser Gonzalez-Fernandez, Marta Soto: copulaedas: An R Package for Estimation of Distribution Algorithms Based on Copulas (2012) arXiv