Software
for implementing methods to adjust for measurement error and misclassification
Estimating distributions
| Software | Procedure / Package | Notes | References |
|---|---|---|---|
| Matlab | Code for nonparametric kernel density methods | Nonparametric kernel density methods; including those in Delaigle & Meister (2008), Stefanski & Carroll (1990), and several other methods. |
Delaigle & Meister (2008) Stefanski & Carroll (1990) |
| MCRA 8.2 | Monte-Carlo Risk Assessment (MCRA) method created by Wageningen University and Research for assessing dietary chemical risk; includes creation of distributions of X based on X*. | van der Voet et al. (2003) | |
| MSM | The Multiple Source Method for estimating distributions of usual dietary intake. Website currently warns about covariate usage. | Haubrock et al. (2011) | |
| PC_SIDE | Implements the Nusser et al. method: nonparametric transformation to normality, deconvolution, and back-transformation. | Nusser et al. (1996) | |
| R | Code for nonparametric kernel density methods | Nonparametric kernel density methods; including those in Delaigle & Meister (2008), Stefanski & Carroll (1990), and others. |
Delaigle & Meister (2008) Stefanski & Carroll (1990) |
| Code for Bayesian semiparametric density deconvolution methods | Bayesian semiparametric density deconvolution methods, including those in Sarkar et al. (2014, 2018). |
Sarkar et al. (2014) Sarkar et al. (2018) |
|
| Package decon | Computes the deconvolution kernel density estimator for X* with normal or Laplace errors. Note: tuning parameter problems reported by Delaigle (2014). |
Wang & Wang (2011) Delaigle (2014) |
|
| SAS | Code for National Research Council method | NRC method for estimating usual dietary intake distributions from one-day intake reports. | National Research Council (1986) |
| NCI method macros | Designed for dietary data. Requires X* with classical measurement error and subsample with repeat measures. Supports covariates and multivariate X*. |
Tooze et al. (2006) Freedman et al. (2010) Zhang et al. (2011) |
|
| SPADE | Statistical Program to Assess Dietary Exposure, written in R; X* univariate with possible excess zeros. | Dekkers et al. (2014) |