• evd

  • Referenced in 24 articles [sw12267]
  • distributions, and provides fitting functions which calculate maximum likelihood estimates for univariate and bivariate maxima ... models, and for univariate and bivariate threshold models...
  • evmix

  • Referenced in 7 articles [sw19523]
  • Modelling, Threshold Estimation and Boundary Corrected Kernel Density Estimation. The usual distribution functions, maximum likelihood...
  • denoiseR

  • Referenced in 8 articles [sw17854]
  • Estimate a low rank matrix from noisy data using singular values thresholding and shrinking functions...
  • reccv

  • Referenced in 36 articles [sw26388]
  • shrinkage and wavelet thresholding estimators developed to denoise such data. These estimators arise from ... estimators in an extensive simulation study on a variety of sample sizes, test functions, signal...
  • ordinal

  • Referenced in 30 articles [sw12561]
  • grouped survival times and ordered logit/probit/... models. Estimation is via maximum likelihood and mixed models ... equidistance can be imposed on the thresholds (cut-points/intercepts). Standard model methods are available ... slice methods for visualizing the likelihood function and checking convergence...
  • fdrtool

  • Referenced in 32 articles [sw08196]
  • package contains functions for non-parametric density estimation (Grenander estimator), for monotone regression (isotonic regression ... criticism (HC) scores and the corresponding decision threshold...
  • superpc

  • Referenced in 8 articles [sw19130]
  • This function uses a form of cross-validation to estimate the optimal feature threshold...
  • spcadjust

  • Referenced in 6 articles [sw12270]
  • spcadjust: Functions for calibrating control charts. This package calibrates thresholds of control charts such ... CUSUM charts based on past data, taking estimation error into account...
  • EValue

  • Referenced in 4 articles [sw34331]
  • meta-analysis, use the function confounded_meta to compute point estimates and inference ... effect sizes more extreme than a specified threshold of scientific importance; and (2) the minimum ... threshold the proportion of studies with true effect sizes of scientifically significant size. The functions...
  • phytools

  • Referenced in 14 articles [sw10003]
  • package includes functions for Bayesian and ML ancestral state estimation; visual simulation of trait evolution ... threshold model. In addition to this phylogenetic comparative method functionality, the package also contains functions ... other purposes in phylogenetic biology. For instance, functionality in this package includes ... nodes and one character state per edge; estimating a phylogeny using the least squares method...
  • lmomco

  • Referenced in 5 articles [sw14732]
  • Moments, L-Comoments, and Many Distributions. Extensive functions for the theory of L-moments ... parameter (p) estimation for numerous familiar and not-so-familiar distributions. Estimation ... Estimation of LMs for right-tail and left-tail censoring by known or unknown threshold ... functions that are useful in reliability, lifetime, and survival analysis. Exact analytical bootstrap estimates...
  • plaqr

  • Referenced in 1 article [sw28189]
  • Estimation, prediction, thresholding, transformation, and plotting for partially linear additive quantile regression. Intuitive functions...
  • cosso

  • Referenced in 1 article [sw23471]
  • that automatically estimates and selects important function components by a soft-thresholding penalty...
  • horseshoe

  • Referenced in 6 articles [sw29790]
  • estimation (MMLE). The main function, horseshoe, is for linear regression. In addition, there are functions ... function available to perform variable selection, using either a form of thresholding, or credible intervals...
  • MLDS

  • Referenced in 2 articles [sw25672]
  • scaling perceived supra-threshold differences. The package contains functions that allow the user to design ... test the internal validity of the estimated scale...
  • eva

  • Referenced in 2 articles [sw17853]
  • threshold selection in the Generalized Pareto distribution (GPD). Random number generation and density functions ... GEVr distribution. Profile likelihood for return level estimation using the GEVr and Generalized Pareto distributions...
  • qasm-tools

  • Referenced in 1 article [sw27652]
  • faults in arbitrary quantum gates; estimate depolarizing noise thresholds using monte-carlo simulation; translate source ... files to TeX to make circuit diagrams; functionally verify stabilizer circuits using a version...
  • svt

  • Referenced in 1 article [sw37232]
  • Singular Value Thresholding in MATLAB. Many statistical learning methods such as matrix completion, matrix regression ... multiple response regression estimate a matrix of parameters. The nuclear norm regularization is frequently employed ... loss function, a vital and most time-consuming step is singular value thresholding, which seeks...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • efficient dimension reduction step based on wavelet thresholding adapted to multiple curves and using ... same functional space even when dealing with irregular functions that belong to Besov spaces ... develop an EM-algorithm for maximum likelihood estimation. The properties of the overall procedure...
  • AUTO-IK

  • Referenced in 2 articles [sw21228]
  • performs automatically the following tasks: selection of thresholds for binary coding of continuous data, computation ... unmonitored locations (regular or irregular grids), and estimation of the mean and variance of these ... validation and jack-knife frameworks. The different functionalities are illustrated using heavy metal concentrations from ... analysis demonstrates the benefit of using more thresholds when indicator kriging is implemented with...