amcheck

amstack

amsubset

amsweep

amtransform

amunstack

bootx

emarch

emfred

generatepriors

amelia.impute

indxs

packr

rmvnorm

scalecenter

startval

unscale

frame.to.matrix

ameliaEnv

ameliaTclSet

getAmelia

putAmelia

unsubset

untransform

framemat

impfill

ameliagui

amelia.prep

compare.density

disperse

gethull

mpinv

nametonumber

overimpute

sigalert

am.resample

Internal or currently undocumented functions in Amelia

internal

am-internal

Amelia II "multiply imputes" missing data in a single cross-section
  (such as a survey), from a time series (like variables collected for
  each year in a country), or from a time-series-cross-sectional data
  set (such as collected by years for each of several countries).
  Amelia II implements our bootstrapping-based algorithm that gives
  essentially the same answers as the standard IP or EMis approaches,
  is usually considerably faster than existing approaches and can
  handle many more variables.  Unlike Amelia I and other statistically
  rigorous imputation software, it virtually never crashes (but please
  let us know if you find to the contrary!).  The program also
  generalizes existing approaches by allowing for trends in time series
  across observations within a cross-sectional unit, as well as priors
  that allow experts to incorporate beliefs they have about the values
  of missing cells in their data.  Amelia II also includes useful
  diagnostics of the fit of multiple imputation models.  The program
  works from the R command line or via a graphical user interface that
  does not require users to know R.

am-internal: Internal Amelia functions

Description

Arguments