• Survey

  • Referenced in 47 articles [sw08163]
  • pseudolikelihood estimation for multistage stratified, cluster-sampled, unequally weighted survey samples. Variances by Taylor series ... linearisation or replicate weights. Post-stratification, calibration, and raking. Two-phase subsampling designs. Graphics. Predictive ... margins by direct standardization. PPS sampling without replacement. Principal components, factor analysis...
  • SMOTEBoost

  • Referenced in 30 articles [sw12571]
  • boosting algorithms give equal weight to all misclassified examples and sample from a pool ... class imbalance and to increase the sampling weights of minority class, SMOTE is introduced ... SMOTE increases the number of minority class samples for the learner and focus on these...
  • AIS-BN

  • Referenced in 25 articles [sw02223]
  • based on the theoretical properties of importance sampling in finite-dimensional integrals and the structural ... function, and (3) a dynamic weighting function for combining samples from different stages ... general purpose sampling algorithms, likelihood weighting and self-importance sampling. We used in our tests...
  • StreamKM++

  • Referenced in 13 articles [sw25552]
  • StreamKM++ computes a small weighted sample of the data stream,called the coreset ... significantly speed up the time necessary for sampling non-uniformly during the coreset construction. After ... extracted from the data stream, a weighted k-means algorithm is applied on the coreset...
  • MWMOTE

  • Referenced in 7 articles [sw32596]
  • MWMOTE - Majority Weighted Minority Oversampling Technique for Imbalanced Data Set Learning. Imbalanced learning problems contain ... unequal distribution of data samples among different classes and pose a challenge to any classifier ... learn informative minority class samples and assigns them weights according to their euclidean distance from ... then generates the synthetic samples from the weighted informative minority class samples using a clustering...
  • PracTools

  • Referenced in 6 articles [sw28559]
  • package PracTools: Tools for Designing and Weighting Survey Samples. Functions and datasets to support Valliant ... Kreuter, “Practical Tools for Designing and Weighting Survey Samples” (2nd edition, 2018). Contains functions...
  • lavaan.survey

  • Referenced in 5 articles [sw11938]
  • complex sampling design. Incorporate clustering, stratification, sampling weights, and finite population corrections into...
  • MitISEM

  • Referenced in 4 articles [sw23111]
  • distribution is obtained using Importance Sampling weighted Expectation Maximization algorithm...
  • N-way Toolbox

  • Referenced in 29 articles [sw12996]
  • weighted least squares loss function (including MILES); Predicting scores for new samples using a given...
  • parallelMCMCcombine

  • Referenced in 3 articles [sw21115]
  • this package, including averaging across subset samples, weighted averaging across subsets samples, and kernel smoothing...
  • ROAST

  • Referenced in 7 articles [sw17318]
  • number of rotations does not depend on sample size, ROAST gives useful results even ... also incorporate array weights and correlated samples. ROAST can be tuned for situations in which ... direction regulation. Probes can also be weighted to allow for prior importance. The power...
  • hitandrun

  • Referenced in 4 articles [sw21592]
  • such shapes. Includes specialized functions for sampling normalized weights with arbitrary linear constraints...
  • WeightedPortTest

  • Referenced in 11 articles [sw12429]
  • resulting statistics are weighted sums of the squares of the sample autocorrelation coefficients that, unlike...
  • loo

  • Referenced in 10 articles [sw19420]
  • Pareto smoothed importance sampling (PSIS), a new procedure for regularizing importance weights. As a byproduct...
  • optweight

  • Referenced in 1 article [sw35699]
  • Weights Using Optimization. Use optimization to estimate weights that balance covariates for binary, multinomial ... specified for each covariate. In addition, sampling weights can be estimated that allow a sample...
  • WGCNA

  • Referenced in 17 articles [sw07123]
  • Correlation Network Analysis. Functions necessary to perform Weighted Correlation Network Analysis on high-dimensional data ... relating of variables and modules to sample traits. Also includes a number of utility functions...
  • BIFIEsurvey

  • Referenced in 1 article [sw15271]
  • level hierarchical regressions for weighted samples are included. Statistical inference can be conducted for multiply...
  • WtdCatmod

  • Referenced in 2 articles [sw26006]
  • analyzing categorical, repeated measures marginal models on sample survey data with binary covariates does ... data with jackknifed replicate weights for which the primary sampling unit information has been suppressed ... repeated measures marginal models on sample surveys with replicate weights. Finally, the results...
  • nuSpectral

  • Referenced in 5 articles [sw26228]
  • nonuniform sampling in the presence of constant offsets. By using weighted least square approximation ... Morlet wavelet transform for nonuniformly sampled data. Asymptotically fast divide-and-conquer schemes...
  • REPEST

  • Referenced in 1 article [sw25109]
  • Stata Module to Run Estimations with Weighted Replicate Samples and Plausible Values. repest estimates statistics ... replicate weights,...), thus accounting for complex survey designs in the estimation of sampling variances...