• ordinal

  • Referenced in 28 articles [sw12561]
  • approximation and adaptive Gauss-Hermite quadrature. Multiple random effect terms are allowed and they...
  • Growcurves

  • Referenced in 2 articles [sw14634]
  • Curve Models that Additionally Include Multiple Membership Random Effects. Employs a non-parametric formulation ... subject random effect parameters to borrow strength over a constrained number of repeated measurement waves ... fashion that permits multiple effects per subject. One class of models employs a Dirichlet process ... prior for the subject random effects that directly incorporates the multiple membership pattern...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • signal for both fixed and random effects. We propose an efficient dimension reduction step based ... adapted to multiple curves and using an appropriate structure for the random effect variance...
  • streg

  • Referenced in 4 articles [sw37360]
  • heterogeneity and random effects. A frailty is a latent multiplicative effect on the hazard function ... specific. A shared frailty model is a random effects model where the frailties are common...
  • DeepLab

  • Referenced in 36 articles [sw15303]
  • effective fields-of-views, thus capturing objects as well as image context at multiple scales ... DCNN layer with a fully connected Conditional Random Field (CRF), which is shown both qualitatively...
  • metafor

  • Referenced in 33 articles [sw12291]
  • outcome measures, fit fixed-, random-, and mixed-effects models to such data, carry out moderator ... suitable generalized linear (mixed-effects) models (i.e., mixed-effects (conditional) logistic and Poisson regression models ... errors and/or true effects (e.g., due to the inclusion of multiple treatment studies, multiple endpoints...
  • WOMBAT

  • Referenced in 1 article [sw07817]
  • models, comprising numerous traits, multiple fixed and random effects, selected genetic covariance structures, random regression...
  • ImpactIV

  • Referenced in 1 article [sw23423]
  • estimate direct and indirect causal effects with randomization and multiple-component intervention using instrumental variable...
  • iPTM-mLys

  • Referenced in 26 articles [sw23948]
  • iPTM-mLys: identifying multiple lysine PTM sites and their different types. MOTIVATION: Post-translational modification ... depth understanding various biological processes and developing effective drugs, prediction of PTM sites in proteins ... coupled effects into the general PseAAC, and by fusing an array of basic random forest...
  • Sparsity

  • Referenced in 13 articles [sw08686]
  • experience indicates that register level optimizations are effective for matrices arising in certain scientific simulations ... important when the vector used in multiplication is larger than the cache size, especially ... which the non-zero structure is random. For applications involving multiple vectors, reorganizing the computation...
  • tnam

  • Referenced in 2 articles [sw24997]
  • predictors, multiple networks and covariates, arbitrary outcome distributions, and random effects or time trends. Basic...
  • List

  • Referenced in 2 articles [sw11931]
  • standard and multiple sensitive item list experiment designs and a random effects setup, a Bayesian...
  • CONN

  • Referenced in 3 articles [sw26510]
  • multiple standard functional connectivity magnetic resonance imaging (fcMRI) measures, and second-level random-effect analysis ... semipartial correlation and bivariate/multivariate regression analysis for multiple ROI sources, graph theoretical analysis, and novel...
  • glst

  • Referenced in 1 article [sw37510]
  • trend analysis of multiple studies, glst can estimate fixed- and random-effects metaregression models...
  • PSweight

  • Referenced in 2 articles [sw35697]
  • randomized trials. Enables the estimation and inference of average causal effects with binary and multiple...
  • Noisy

  • Referenced in 5 articles [sw21022]
  • Noisy: identification of problematic columns in multiple sequence alignments. MOTIVATION: Sequence-based methods for phylogenetic ... sequence data are notoriously plagued by two effects: homoplasies and alignment errors. Large evolutionary distances ... phylogenetically informative and (ii) effectively randomized regions. In highly variable regions, furthermore, alignment errors accumulate ... phylogenetically uninformative homoplastic sites in a multiple sequence alignment. Removal of these sites appears...
  • HyPER

  • Referenced in 2 articles [sw23917]
  • range of information sources. Such sources include multiple user-user and item-item similarity measures ... graphical models known as hinge-loss Markov random fields. We experimentally evaluate our approach ... recommendation datasets, showing that HyPER can effectively combine multiple information types for improved performance...
  • SA-cluster

  • Referenced in 9 articles [sw06867]
  • networks, etc. Graph clustering has shown its effectiveness in analyzing and visualizing large networks ... measure. SA-Cluster performs matrix multiplication to calculate the random walk distances between graph vertices...
  • mvmeta

  • Referenced in 1 article [sw37342]
  • Multivariate random-effects meta-analysis. Multivariate meta-analysis combines estimates of several related parameters over ... These parameters can, for example, refer to multiple outcomes or comparisons between more than ... method- of-moments estimation of random-effects multivariate meta-analysis models. A utility command, mvmeta...
  • ptr

  • Referenced in 1 article [sw39384]
  • effectiveness versus an alternative regime, using randomized trial data. The command allows for multiple (continuous...