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

iDrugTarget
 Referenced in 13 articles
[sw22415]
 interactions were trained by a skewed benchmark dataset where the number of noninteractive ... ones. Using this kind of highly unbalanced benchmark dataset 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 highthroughput data types. DAnTE features selected normalization methods, missing ... hypothesistesting 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 largescale 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 largescale 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 paneldata models with a small number of individuals ... variance–covariance matrix for dynamic (possibly) unbalanced paneldata 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]
 panelcorrected 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 changepoint detection in data sequences, or sequence segmentation, using computationally efficient ... package implements the ”TailGreedy Unbalanced Haar”, ”Wild Binary Segmentation” and ”Adaptive Wild Binary Segmentation...