• Stata

  • Referenced in 288 articles [sw06029]
  • ARFIMA, business calendars, chained equations for multiple imputation, contour plots, automatic memory management, importing...
  • MICE

  • Referenced in 85 articles [sw09315]
  • mice: Multivariate Imputation by Chained Equations. Multiple imputation using Fully Conditional Specification (FCS) implemented...
  • PRELIS

  • Referenced in 35 articles [sw09526]
  • sample moments; Imputation by matching; Multiple imputation; Multiple linear regression; Logistic regression; Univariate and multivariate...
  • XGobi

  • Referenced in 31 articles [sw11752]
  • their patterns can be examined; multiple imputations can be given to XGobi for rapid visual...
  • Amelia

  • Referenced in 29 articles [sw04533]
  • Unlike Amelia I and other statistically rigorous imputation software, it virtually never crashes (but please ... useful diagnostics of the fit of multiple imputation models. The program works from...
  • mi

  • Referenced in 20 articles [sw10551]
  • Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black...
  • R/qtl

  • Referenced in 11 articles [sw20451]
  • algorithm), Haley-Knott regression, and multiple imputation. All of this may be done ... higher-order QTL models by multiple imputation and Haley-Knott regression. R/qtl is distributed...
  • REALCOM

  • Referenced in 7 articles [sw18415]
  • REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types. Multiple imputation is becoming ... this article. This software performs multilevel multiple imputation, and handles ordinal and unordered categorical data...
  • missMDA

  • Referenced in 9 articles [sw08142]
  • Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis ... multiple factor analysis (MFA) model; Perform multiple imputation with...
  • impute

  • Referenced in 80 articles [sw14376]
  • microarray experiments can generate data sets with multiple missing expression values. Unfortunately, many algorithms ... with a few missing values. Methods for imputing missing data are needed, therefore, to minimize...
  • ice

  • Referenced in 4 articles [sw24700]
  • Multiple Imputation by Chained Equations (MICE): Implementation in Stata. Missing data are a common occurrence ... prognostic factors studies in medicine, multiple imputation is becoming the standard route to estimating models ... Stata of the MICE approach to multiple imputation. Real data from an observational study ... database architecture and procedures for multiple imputation introduced in releases 11 and 12 of Stata...
  • pan

  • Referenced in 5 articles [sw21011]
  • package pan: Multiple Imputation for Multivariate Panel or Clustered Data. Multiple imputation for multivariate panel...
  • mitools

  • Referenced in 5 articles [sw23419]
  • package mitools: Tools for multiple imputation of missing data. Tools to perform analyses and combine ... results from multiple-imputation datasets...
  • IVEware

  • Referenced in 14 articles [sw07448]
  • multivariate model involving a multiple regression sequence where imputation is carried out variable by variable...
  • momentuHMM

  • Referenced in 5 articles [sw21676]
  • familiar to most R users; 5) multiple imputation methods that account for measurement error...
  • MIICD

  • Referenced in 2 articles [sw17902]
  • package MIICD. Multiple Imputation for Interval Censored Data. Implements multiple imputation for proportional hazards regression...
  • jomo

  • Referenced in 2 articles [sw19482]
  • package jomo: Multilevel Joint Modelling Multiple Imputation. Similarly to Schafer’s package ’pan’, ’jomo ... package for multilevel joint modelling multiple imputation. Novel aspects of ’jomo’ are the possibility...
  • inorm

  • Referenced in 2 articles [sw24701]
  • INORM: Stata module to perform multiple imputation using Schafer’s method. inorm is an implementation ... Schafer’s NORM program for multiple imputation based on the multivariate normal distribution (using...
  • mirf

  • Referenced in 2 articles [sw26718]
  • Package mirf: Multiple imputation and random forests (MIRF) for unobservable, high-dimensional data. This package ... applies a combination of missing haplotype imputation via the EM algorithm of Excoffier and Slatkin ... B.A.S. Nonyane and A.S. Foulkes (2007) Multiple imputation and random forests (MIRF) for unobservable high...
  • PROC MI

  • Referenced in 3 articles [sw12081]
  • procedure performs multiple imputation of missing data. Missing values are an issue in a substantial...