• ForestFit

  • Referenced in 1 article [sw31035]
  • following tasks. I) Computing the probability density function, cumulative distribution function, random generation, and estimating ... parameters of two- and three-parameter Weibull distributions. In the case of two-parameter, twelve ... Birnbaum-Saunders, generalized exponential, and Weibull distributions fitted to grouped data using three methods including ... curve fitted to the height-diameter observation, and VII) estimating parameters, computing probability density function...
  • ig

  • Referenced in 7 articles [sw07988]
  • inverse Gaussian distribution is a positively skewed probability model that has received great attention ... generalizes this model called inverse Gaussian type distributions has been developed. The new R package ... analyze data from inverse Gaussian type distributions. This package contains basic probabilistic functions, lifetime indicators ... this package. In addition, goodness-of-fit methods are implemented in order to detect...
  • SHELF

  • Referenced in 0 articles [sw16404]
  • number of probability judgements, corresponding to points on his or her cumulative distribution function ... distributions can then be fitted and displayed, with feedback provided in the form of fitted ... probabilities and percentiles. A graphical interface for the roulette elicitation method is also provided ... includes functions for eliciting beliefs about population distributions...
  • ExGUtils

  • Referenced in 1 article [sw20872]
  • statistical analysis with the ex-gaussian probability density. The study of reaction times and their ... through the ex-Gaussian distribution, because it provides a good fit to multiple empirical data ... some mathematical details of the ex-Gaussian distribution and apply the ExGUtils package ... probability density. In order to validate the package, we present an extensive analysis of fits...
  • svylogitgof

  • Referenced in 3 articles [sw06486]
  • estimate probabilities of event occurrences. While various goodness-of-fit tests have been proposed ... that observations selected were independent and identically distributed. Increasingly, epidemiologists are using large-scale sample...
  • BAT

  • Referenced in 5 articles [sw00067]
  • gives access to the full posterior probability distribution and enables straightforward parameter estimation, limit setting ... addition, methods to judge the goodness-of-fit of a model are implemented. An interface...
  • glarma

  • Referenced in 5 articles [sw23274]
  • filter of past predictive residuals. Currently three distributions (Poisson, negative binomial and binomial ... settings. Graphical diagnostics including model fits, autocorrelation functions and probability integral transform residuals are included...
  • MGOMP

  • Referenced in 1 article [sw26441]
  • time for each cause follows a Gompertz distribution. For example, in a study ... origin of the survival time, is fitted by maximum likelihood via the EM algorithm (Dempster ... infinity for some patients with a nonzero probability (Farewell...
  • exactLoglinTest

  • Referenced in 3 articles [sw25926]
  • package exactLoglinTest. This package evaluates model fit for Poisson log-linear models by conditioning ... estimate P values from the resulting conditional distribution. In particular, this package implements a sequentially ... normal approximation and importance sampling to approximate probabilities from the conditional distribution. Usually, this results...
  • ecd

  • Referenced in 0 articles [sw15890]
  • distribution and modelling. Especially, it contains functions for the computation of density, probability, quantile, fitting...
  • LabFit

  • Referenced in 1 article [sw06003]
  • analysis of experimental data. At LAB Fit you are able to: 1) Treat similar data ... similar data; 3) Calculate probabilities for many distributions (Gaussian, t-Student, Fisher-Snedecor, Chi-Square ... digitizing with ”xyExtract Graph Digitizer”); 8) Curve Fitting (nonlinear regression - least squares method, Levenberg-Marquardt...
  • RllvmCompile

  • Referenced in 3 articles [sw14511]
  • single one-size-fits-all approach to compiling R is probably too restrictive. Furthermore ... core group to make all ”official” and ”distributed” changes limits innovation (but does improve stability...
  • randfixedsum

  • Referenced in 1 article [sw25632]
  • tetrahedra.) The ’rand’ function is used to distribute vectors within each simplex uniformly, and further ... select different types of simplexes with probabilities proportional to their respective n-1 dimensional volumes ... generated so as to already fit within the prescribed hypercube...
  • KSD

  • Referenced in 0 articles [sw15901]
  • statistic for measuring differences between two probability distributions based on combination of Stein’s method ... distributions are. It is based on ”A Kernelized Stein Discrepancy for Goodness-of-fit Tests...
  • Proban

  • Referenced in 1 article [sw17674]
  • reliability. Proban calculates probability, distribution, first passage probability, crossing rate, and related sensitivity measures ... variables and events, deterministic analysis, distribution fit, parameter study, function libraries and distribution library come...
  • SoilGrids250m

  • Referenced in 2 articles [sw27798]
  • predictions of depth to bedrock and distribution of soil classes based on the World Reference ... lithology maps), which were used to fit an ensemble of machine learning methods—random forest ... input uncertainties and derivation of posterior probability distributions (per pixel), and further automation of spatial...
  • humanleague

  • Referenced in 1 article [sw28809]
  • fast implementation of the traditional Iterative Proportional Fitting (IPF) algorithm, which generates fractional populations given ... also provided to integerise discrete univariate probability distributions, directly generate quasirandom (Sobol) sequences...
  • BCBCSF

  • Referenced in 1 article [sw07436]
  • select a subset of features before fitting a statistical model, by evaluating how strongly ... selection procedure will result in overconfident predictive probabilities for future cases, because the signal ... features, to form a correct (unbiased) posterior distribution of certain hyperparameters in the hierarchical Bayesian...
  • ANSYS

  • Referenced in 648 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ARfit

  • Referenced in 34 articles [sw00046]
  • ARfit is a collection of Matlab modules for...