• glmmBUGS

  • Referenced in 7 articles [sw13217]
  • hierarchical and spatial models, arranges unbalanced data in ragged arrays, and creates starting values...
  • iDrug-Target

  • Referenced in 13 articles [sw22415]
  • interactions were trained by a skewed benchmark data-set where the number of non-interactive ... ones. Using this kind of highly unbalanced benchmark data-set to train predictors would lead...
  • LiblineaR

  • Referenced in 5 articles [sw25718]
  • logistic regression only) or weights for unbalanced data. The estimation of the models is particularly...
  • bild

  • Referenced in 4 articles [sw24688]
  • Data. Performs logistic regression for binary longitudinal data, allowing for serial dependence among observations from ... suitably defined model. Missing values and unbalanced data are allowed, with some restrictions...
  • DAnTE

  • Referenced in 4 articles [sw35337]
  • easily be extended to other high-throughput data types. DAnTE features selected normalization methods, missing ... hypothesis-testing scheme that can handle unbalanced data and random effects. The graphical user interface...
  • MIXREG

  • Referenced in 5 articles [sw24547]
  • used for analysis of unbalanced longitudinal data, where individuals may be measured at a different...
  • AdaptiveFace

  • Referenced in 2 articles [sw37094]
  • Face Recognition. Training large-scale unbalanced data is the central topic in face recognition ... variations. However, real face datasets are highly unbalanced, which means the classes have tremendously different ... addition to the unbalance challenge, face data always consists of large-scale classes and samples...
  • unbalanced

  • Referenced in 2 articles [sw32545]
  • prepared to cope with unbalanced data and several techniques have been proposed. This package implements ... most appropriate strategy for a given unbalanced task...
  • cold

  • Referenced in 2 articles [sw33868]
  • Data. Performs regression analysis for longitudinal count data, allowing for serial dependence among observations from ... suitably defined model. Missing values and unbalanced data are allowed; M. Helena Goncalves...
  • xtlsdvc

  • Referenced in 2 articles [sw37482]
  • Estimation and inference in dynamic unbalanced panel-data models with a small number of individuals ... variance–covariance matrix for dynamic (possibly) unbalanced panel-data models with strictly exogenous regressors...
  • PROC ANOVA

  • Referenced in 1 article [sw12083]
  • designed to handle balanced data (that is, data with equal numbers of observations for every ... procedure can analyze both balanced and unbalanced data. Because PROC ANOVA takes into account...
  • rm.tools

  • Referenced in 1 article [sw09256]
  • some subsidiary modules. Two first procedures provide data plotting and preliminary analysis including the nonparametric ... allow the presence of missing or unbalanced data, time dependent covariates as well...
  • VCA

  • Referenced in 1 article [sw16077]
  • Searle et al. (1991, ANOVA for unbalanced data), once making use of the ’lme4’ package...
  • OctNet

  • Referenced in 10 articles [sw36665]
  • input data to hierarchically partition the space using a set of unbalanced octrees where each...
  • pcse

  • Referenced in 4 articles [sw23861]
  • panel-corrected standard errors. Data may contain balanced or unbalanced panels...
  • RefficientLib

  • Referenced in 6 articles [sw20337]
  • move the hierarchical data structure between processors so that load unbalancing is kept below...
  • PARTITION

  • Referenced in 11 articles [sw04500]
  • data from ecological studies and biodiversity surveys. PARTITION can be used on balanced and unbalanced...
  • Panel Data Toolbox

  • Referenced in 1 article [sw23387]
  • Panel Data Toolbox for MATLAB. Panel Data Toolbox is a new package for MATLAB that ... main econometric methods of balanced and unbalanced panel data analysis. The package includes code...
  • splitstackshape

  • Referenced in 1 article [sw30380]
  • reshape wide data, even when the data are ”unbalanced”—something which reshape (from base...
  • breakfast

  • Referenced in 11 articles [sw22395]
  • package performs multiple change-point detection in data sequences, or sequence segmentation, using computationally efficient ... package implements the ”Tail-Greedy Unbalanced Haar”, ”Wild Binary Segmentation” and ”Adaptive Wild Binary Segmentation...