• PROFIL/BIAS

  • Referenced in 134 articles [sw00733]
  • class library supporting the most commonly needed interval and real operations in a user friendly...
  • CREx

  • Referenced in 4 articles [sw35374]
  • CREx: inferring genomic rearrangements based on common intervals. : We present the web-based program CREx ... phylogenetic hypothesis. CREx is based on common intervals, which reflect genes that appear consecutively...
  • classInt

  • Referenced in 5 articles [sw24930]
  • package classInt: Choose Univariate Class Intervals. Selected commonly used methods for choosing univariate class intervals...
  • OVID

  • Referenced in 20 articles [sw21962]
  • mechanism to share common descriptional data among video-objects, called interval-inclusion based inheritance...
  • SHARPE

  • Referenced in 43 articles [sw03100]
  • solution methods for most of the commonly used model types for performance, reliability and performability ... stochastic Petri nets. Steady-state, transient and interval measures can be computed. Output measures...
  • smatr

  • Referenced in 1 article [sw26098]
  • confidence intervals and one-sample tests for slope and elevation, testing for a common slope ... allometric lines, constructing a confidence interval for a common slope or elevation, and testing...
  • tidybayes

  • Referenced in 3 articles [sw31516]
  • provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus...
  • ibexMop

  • Referenced in 2 articles [sw34657]
  • interval branch & bound algorithms. Interval based solvers are commonly used for solving single-objective nonlinear ... this paper, we propose a new interval branch & bound algorithm for solving nonlinear constrained biobjective...
  • supportInt

  • Referenced in 0 articles [sw18825]
  • package supportInt. supportInt: Calculates Likelihood Support Intervals for Common Data Types. Calculates likelihood based support ... intervals for several common data types including binomial, Poisson, normal ... binomial, Poisson, and normal data likelihood intervals are calculated via root finding algorithm. Additional parameters...
  • PDE2D

  • Referenced in 49 articles [sw04270]
  • four chapters introduce and analyze the more commonly used finite difference methods for solving ... systems, and linear eigenvalue systems in 1D intervals, general 2D regions, and a wide range...
  • qLearn

  • Referenced in 20 articles [sw11117]
  • available treatment and covariate history. A common method for estimating an optimal dynamic treatment regime ... bootstrap for constructing confidence intervals for the parameters indexing the optimal dynamic regime. We propose...
  • MARK

  • Referenced in 25 articles [sw24801]
  • live recaptures or re-sightings. The time intervals between re-encounters do not have ... parameter index matrix. A set of common models for initial screening of data are provided...
  • intReg

  • Referenced in 1 article [sw24027]
  • intReg: Interval Regression. Estimating interval regression models. Supports both common and observation-specific boundaries...
  • coco_gop_ex

  • Referenced in 4 articles [sw10850]
  • COCONUT environment. We introduce a new interval global optimization method for solving bound constrained problems ... state-of-the-art methods in a common software platform. The original algorithm is enhanced ... methods implemented in COCONUT, regarding both interval function evaluations (such as first and second order...
  • TituRel

  • Referenced in 8 articles [sw08501]
  • theory extraction, social choice, decision support via interval orderings, etc. TituRel supports algebraic visualizations, proofs ... programming languages. Remarks: TituRel has a common source with the widely known RelView...
  • popReconstruct

  • Referenced in 2 articles [sw07437]
  • fully probabilistic interval estimates. It is designed for the kind of data commonly collected ... investigate calibration of central posterior marginal probability intervals by simulation and demonstrate the method...
  • outference

  • Referenced in 2 articles [sw22356]
  • highly sensitive to outliers. It is common practice to first identify and remove outliers ... then to fit OLS and form confidence intervals and p-values on the remaining data ... detection and removal to provide valid confidence intervals and hypothesis tests. Our inferential procedures apply ... show that several of the most commonly used outlier detection procedures are of this form...
  • carl

  • Referenced in 4 articles [sw29181]
  • results of classical hypothesis tests or confidence intervals using the (generalized or profile) likelihood ratio ... computing technology, it has become increasingly common that a simulator (or generative model) is used...
  • distillery

  • Referenced in 1 article [sw23857]
  • Some very simple method functions for confidence interval calculation, bootstrap resampling, and to distill pertinent ... potentially complex object; primarily used in common with packages extRemes and SpatialVx...
  • Kubios HRV

  • Referenced in 3 articles [sw29196]
  • data and beat-to-beat RR interval data. It includes an adaptive QRS detection algorithm ... sample selection. The software computes all the commonly used time-domain and frequency-domain...