• STJM

  • Referenced in 8 articles [sw19776]
  • survival submodel, including the exponential, Weibull, Gompertz, 2-component mixture Weibull-Weibull and 2-component ... mixture Weibull-exponential proportional hazards models. Furthermore, the flexible parametric survival model (see stpm2), modelled...
  • eha

  • Referenced in 9 articles [sw06775]
  • hazards models with baseline distributions like the Weibull, Gompertz, Lognormal, and Piecewise constant hazard distributions...
  • SemiMarkov

  • Referenced in 6 articles [sw22606]
  • estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right...
  • Abaqus2Matlab

  • Referenced in 8 articles [sw22079]
  • cleavage fracture through a novel 3-parameter Weibull probabilistic framework. Then, its potential to create...
  • UMATplasticity

  • Referenced in 3 articles [sw35140]
  • framework for brittle fracture that builds upon Weibull statistics and strain gradient plasticity. The constitutive ... that gradients of plastic strain elevate the Weibull stress and the probability of failure ... choice of the threshold stress and the Weibull parameters. The statistical framework presented is used ... three statistical parameters present in the Weibull-type model without any prior assumptions. The calibration...
  • lmomco

  • Referenced in 5 articles [sw14732]
  • Truncated Exponential [L], Wakeby [L], and Weibull [L]. LMs have multivariate analogs; the sample...
  • goft

  • Referenced in 5 articles [sw32717]
  • tests for gamma, inverse Gaussian, log-normal, ’Weibull’, ’Frechet’, Gumbel, normal, multivariate normal, Cauchy, Laplace...
  • SURVSIM

  • Referenced in 3 articles [sw24363]
  • distributions available include the exponential, Gompertz and Weibull. Alternatively, a user defined [log] [cumulative] hazard ... also be specified.Keywords: survival analysis, survival time, Weibull distribution...
  • ForestFit

  • Referenced in 2 articles [sw31035]
  • Gompertz, log-logistic, log-normal, Lomax, and Weibull. II) Point estimation of the parameters ... three-parameter Weibull distributions. In the case of two-parameter, twelve methods consist of generalized ... Bayesian estimators of the three-parameter Weibull distribution developed by Green ... three-parameter Birnbaum-Saunders, generalized exponential, and Weibull distributions fitted to grouped data using three...
  • SmoothHazard

  • Referenced in 4 articles [sw14710]
  • either a parametric approach with Weibull baseline intensities or a semi-parametric approach with...
  • mpr

  • Referenced in 4 articles [sw21870]
  • concept, we consider the two-parameter Weibull model which leads to time-dependent hazard ratios...
  • DPWeibull

  • Referenced in 2 articles [sw20438]
  • package DPWeibull. Use Dirichlet process Weibull mixture model and dependent Dirichlet process Weibull mixture model ... with and without competing risks. Dirichlet process Weibull mixture model is used for data without...
  • SurvRegCensCov

  • Referenced in 2 articles [sw29964]
  • package SurvRegCensCov: Weibull Regression for a Right-Censored Endpoint with Interval-Censored Covariate. The main ... this package allows estimation of a Weibull Regression for a right-censored endpoint, one interval ... allow to switch between different parametrizations of Weibull regression used by different R functions, inference...
  • QMPE

  • Referenced in 2 articles [sw09192]
  • QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound ... dependent lower bound): the Lognormal, Wald, and Weibull distributions. Estimation can be performed using either...
  • DiscreteWeibull

  • Referenced in 2 articles [sw11409]
  • DiscreteWeibull: Discrete Weibull distribution. Probability mass function, distribution function, quantile function, random generation and parameter ... type I and III discrete Weibull distributions...
  • extraDistr

  • Referenced in 3 articles [sw17069]
  • discrete Laplace, discrete normal, discrete uniform, discrete Weibull, Frechet, gamma-Poisson, generalized extreme value, Gompertz...
  • Clarify

  • Referenced in 3 articles [sw26299]
  • multinomial logit, Poisson regression, negative binomial regression, weibull regression, seemingly unrelated regression equations...
  • WSTRESS

  • Referenced in 1 article [sw13922]
  • upon probabilistic fracture mechanics. WSTRESS calculates the Weibull stress, aw , and provides estimates ... Weibull parameters from fracture mechanics test data. Recent developments have focused on its application ... three-dimensional cracked solid; the Weibull stress, aw , then emerges as a fracture parameter reflecting ... random) location of microcracks. Computation of the Weibull stress is accomplished by integration...
  • weibullness

  • Referenced in 1 article [sw28441]
  • package weibullness: Goodness-of-Fit Test for Weibull (Weibullness Test). Performs a goodness ... test of Weibull distribution (weibullness test). For more details, see Park (2017) ....
  • extWeibQuant

  • Referenced in 1 article [sw15361]
  • Estimate Lower Extreme Quantile with the Censored Weibull MLE and Censored Weibull Mixture. It implements ... subjectively censored Weibull MLE and censored Weibull mixture methods for the lower quantile estimation. Quantile ... here can be used to fit the Weibull or Weibull mixture for the Type...