• CUTGEN1

  • Referenced in 45 articles [sw14833]
  • developed. The problem is defined and its parameters are identified. Then it is shown what ... allow for the generation of easily reproducible random problem instances. Finally, by applying the generator...
  • frailtypack

  • Referenced in 44 articles [sw06070]
  • events). An automatic choice of the smoothing parameter is possible using an approximated cross-validation ... proportional hazard models with two correlated random effects (intercept random effect with random slope...
  • normalp

  • Referenced in 16 articles [sw10540]
  • random numbers from the same distribution. Moreover, methods concerning the estimation of the distribution parameters ... linear regression models when we assume the random errors distributed according to an exponential power...
  • Rambo

  • Referenced in 7 articles [sw14702]
  • Rambo: The Random Subgraph Model. Estimate the parameters, the number of classes and cluster vertices...
  • dhglm

  • Referenced in 7 articles [sw21272]
  • which the mean, dispersion parameters for variance of random effects, and residual variance (overdispersion...
  • spinyReg

  • Referenced in 4 articles [sw14821]
  • sparsity of the problem, with a random Gaussian parameter vector. The originality of the work...
  • BradleyTerry2

  • Referenced in 22 articles [sw09554]
  • Terry model, structured versions in which the parameters are related through a linear predictor ... quasi-likelihood (for models which involve a random effect), or by bias-reduced maximum likelihood ... which the first-order asymptotic bias of parameter estimates is eliminated. Also provided...
  • merDeriv

  • Referenced in 2 articles [sw37185]
  • models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This...
  • LNIRT

  • Referenced in 2 articles [sw39009]
  • covariates for item and person (random) parameters. Data missing-by-design can be specified. Parameter...
  • libstableR

  • Referenced in 3 articles [sw26128]
  • libstableR: Fast and Accurate Evaluation, Random Number Generation and Parameter Estimation of Skew Stable Distributions ... quantile functions), random number generation and parameter estimation...
  • RSGHB

  • Referenced in 5 articles [sw23112]
  • varying across individuals) or random with continuous distributions. Parameter distributions supported include normal, positive/negative...
  • getRDS

  • Referenced in 6 articles [sw12595]
  • compared to the well known Mersenne Twister random number generator MT19937 (MT). We noticed that ... point estimates of the true parameters. Moreover, the getRDS random number generator can significantly improve...
  • bamlss

  • Referenced in 11 articles [sw24276]
  • every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • design matrix X and random effects matrix Z, and other parameters controlling the computation...
  • party

  • Referenced in 28 articles [sw07330]
  • cforest() provides an implementation of Breiman’s random forests. The function mob() implements an algorithm ... linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality...
  • ig

  • Referenced in 9 articles [sw07988]
  • indicators and a random number generator from this model. Also, parameter estimates and diagnostics analysis...
  • PROC MCMC

  • Referenced in 3 articles [sw12072]
  • essence, Bayesian statistics treats parameters as unknown random variables, and it makes inferences based...
  • FPINNs

  • Referenced in 49 articles [sw40570]
  • minimized with respect to the NN parameters. We extend PINNs to fractional PINNs (fPINNs ... terms whose values are only known at randomly scattered spatio-temporal coordinates (black-box forcing...
  • AS 134

  • Referenced in 4 articles [sw27919]
  • generation of beta random variables with one parameter greater than and one parameter less than...
  • glmmML

  • Referenced in 9 articles [sw07509]
  • normal distributions in the specification of random intercepts. It also allows for the estimation ... fixed parameters; moreover, a bootstrapping technique is implemented to replace asymptotic analysis. The random intercepts...