• expsmooth

  • Referenced in 46 articles [sw11122]
  • innovations state space models, likelihood calculation, prediction intervals and procedures for model selection. In this...
  • meta

  • Referenced in 11 articles [sw17233]
  • analysis; - import data from ’RevMan 5’; - prediction interval, Hartung-Knapp and Paule-Mandel method...
  • PredictiveRegression

  • Referenced in 5 articles [sw11352]
  • PredictiveRegression: Prediction Intervals for Three Basic Statistical Models. Three prediction algorithms described in the paper ... drawbacks: (1) the classical prediction intervals guarantee that the probability of error is equal ... frequency of error for the classical prediction intervals does equal the nominal significance level ... alternative regression models in which informative prediction intervals can be found before the number...
  • frailtypack

  • Referenced in 43 articles [sw06070]
  • Prediction values are available. Left truncated (not for Joint model), right-censored data, interval-censored...
  • PredictionR

  • Referenced in 2 articles [sw41924]
  • Continuous Distribution. Functions to get prediction intervals and prediction points of future observations from...
  • quantilogram

  • Referenced in 25 articles [sw25152]
  • given time series has no directional predictability. The test is based on comparing the correlogram ... quantile hits to a pointwise confidence interval or on comparing the cumulated squared autocorrelations with ... data. The empirical results suggest some directional predictability in returns. The evidence is strongest...
  • RFpredInterval

  • Referenced in 1 article [sw39013]
  • package RFpredInterval: Prediction Intervals with Random Forests and Boosted Forests. Implements various prediction interval methods ... main functions: pibf() produces prediction intervals with boosted forests (PIBF) as described in Alakus ... rfpi() builds 15 distinct variations of prediction intervals with random forests (RFPI) proposed...
  • BootPR

  • Referenced in 1 article [sw16855]
  • package BootPR: Bootstrap Prediction Intervals and Bias-Corrected Forecasting. Bias-Corrected Forecasting and Bootstrap Prediction...
  • pimeta

  • Referenced in 1 article [sw40349]
  • package pimeta: Prediction Intervals for Random-Effects Meta-Analysis. An implementation of prediction intervals...
  • rfinterval

  • Referenced in 1 article [sw39015]
  • integrated package for constructing random forest prediction intervals using a fast implementation package ’ranger’. This ... /00031305.2019.1585288>: the out-of-bag prediction interval, the split conformal method, and the quantile regression...
  • RLDDE

  • Referenced in 3 articles [sw35866]
  • latter is the time interval between two data. Prediction accuracy can be improved using suitable...
  • ROCKET

  • Referenced in 13 articles [sw30016]
  • ROCKET: robust confidence intervals via Kendall’s tau for transelliptical graphical models. Understanding complex relationships ... behavior across subsamples agrees with the distribution predicted by the theory...
  • merTools

  • Referenced in 1 article [sw39965]
  • lme4’ package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear...
  • InvariantCausalPrediction

  • Referenced in 2 articles [sw23428]
  • package InvariantCausalPrediction: Invariant Causal Prediction. Confidence intervals for causal effects, using data collected in different...
  • MonoLoco

  • Referenced in 1 article [sw36641]
  • ambiguity in the task by predicting confidence intervals through a loss function based ... forward neural network that predicts 3D locations and corresponding confidence intervals given 2D human poses...
  • predictionInterval

  • Referenced in 0 articles [sw16515]
  • replication attempt (i.e., calculate a prediction interval). This package has functions that calculate the prediction...
  • GENSPECT

  • Referenced in 6 articles [sw24127]
  • spectral interval, coupled with a pre-computed lookup table that predicts where it is appropriate...
  • ez

  • Referenced in 1 article [sw17525]
  • advanced/powerful mixed effects models, yielding predictions and confidence intervals that may be easily visualized...
  • SIP

  • Referenced in 4 articles [sw13382]
  • intervals in generalized regression models. With CD-ROM. Regression models are used to predict ... create a model such that the predicted and observed values of the outcome variable ... follows two directions: profile likelihood-based confidence intervals and generalized regression models. It is intended...
  • IntegratedMRF

  • Referenced in 0 articles [sw16090]
  • Bootstrap along with generation of prediction confidence interval using Jackknife-after-Bootstrap approach...