• bda

  • Referenced in 2 articles [sw34392]
  • package bda: Binned Data Analysis. Algorithms developed for binned data analysis, gene expression data analysis...
  • ungroup

  • Referenced in 1 article [sw29037]
  • Estimation of Smooth Distributions from Coarsely Binned Data. Versatile method for ungrouping histograms (binned count ... data) assuming that counts are Poisson distributed and that the underlying sequence on a fine ... estimated from the binned counts. Ungrouping binned data can be desirable for many reasons: Bins ... abridged life tables are examples of binned data. Because of modest assumptions, the approach...
  • mixR

  • Referenced in 1 article [sw40945]
  • Finite Mixture Modeling for Raw and Binned Data. Performs maximum likelihood estimation for finite mixture ... fitting can be raw data or binned data. The model fitting process is accelerated...
  • mi

  • Referenced in 28 articles [sw10551]
  • transformations for chained imputation models; standard and binned residual plots for checking ... comparing the distributions of observed and imputed data. In addition, we use Bayesian models...
  • pyhf

  • Referenced in 1 article [sw38786]
  • given model parameters φ. Given observed data, the likelihood L(φ) then serves ... parameters φ. For measurements based on binned data (histograms), the HistFactory family of statistical models...
  • PyGRB

  • Referenced in 1 article [sw35187]
  • NASA HEARSAC). At the moment only BATSE data can be downloaded and analysed with ... create light-curves from either pre-binned data or time-tagged photon-event data. Light...
  • dlookr

  • Referenced in 3 articles [sw28000]
  • between target variable and predictor. Data transformation supports binning for categorizing continuous variables, imputates missing...
  • GazeR

  • Referenced in 1 article [sw33775]
  • areas of interest, and binning and aggregating data. For data from pupillometry studies, the gazeR ... interpolation, subtractive baseline correction, and binning and aggregating data. The package is open-source...
  • binsmooth

  • Referenced in 0 articles [sw16391]
  • generating density functions based on binned data. Data are assumed to be nonnegative ... maintain the areas specified by the binned data. (Equivalently, all CDF smoothing methods interpolate ... points specified by the binned data.) An estimate for the mean of the distribution...
  • ROOT

  • Referenced in 5 articles [sw20052]
  • package allows the user to perform complex data modeling and fitting while the RooStats library ... histogram classes which provide binning of one- and multi-dimensional data. Results can be saved...
  • smbinning

  • Referenced in 3 articles [sw33579]
  • package smbinning: Scoring Modeling and Optimal Binning. A set of functions to build a scoring ... time spent on data exploration, variable selection, feature engineering, binning and model selection among other...
  • FastBDT

  • Referenced in 2 articles [sw19837]
  • ideas include: An equal-frequency binning on the input data, which allows replacing expensive floating...
  • mltools

  • Referenced in 0 articles [sw17921]
  • helper functions, particularly assisting in the Exploratory Data Analysis phase. Makes heavy ... memory efficiency. Highlights include a versatile bin_data() function, sparsify() for converting a data.table...
  • essHist

  • Referenced in 3 articles [sw18259]
  • used as a simple, exploratory display of data, but it is usually not clear ... choose the number and size of bins for this purpose. We construct a confidence ... fewest bins. Thus the essential histogram is the simplest visualization of the data that optimally...
  • rdbwselect

  • Referenced in 3 articles [sw37435]
  • that implements several data-driven choices of the number of bins in evenly spaced...
  • TransferEntropyPT

  • Referenced in 0 articles [sw30129]
  • time series of (binned) data. The package provides a function to assess the statistical significance...
  • HyFlex

  • Referenced in 12 articles [sw07688]
  • fully implemented: maximum satisfiability, one dimensional bin packing, permutation flow shop, personnel scheduling, traveling salesman ... instances, including real-world industrial data and an extensive set of state...
  • woeBinning

  • Referenced in 1 article [sw19177]
  • binary splits. Both procedures merge, respectively split, bins based on similar weight of evidence ... used with single variables or an entire data frame. It provides flexible tools ... exploring different binning solutions and for deploying them to (new) data...
  • MetaCluster

  • Referenced in 1 article [sw34968]
  • MetaCluster 5.0: a two-round binning approach for metagenomic data for low-abundance species...
  • Musrfit

  • Referenced in 1 article [sw40103]
  • read the followingfacility raw-data files: PSI-BIN, MDU (PSI), ROOT (LEM/PSI), WKM (outdated ASCII...