Package: samon 4.0.2

samon: Sensitivity Analysis for Missing Data

In a clinical trial with repeated measures designs, outcomes are often taken from subjects at fixed time-points. The focus of the trial may be to compare the mean outcome in two or more groups at some pre-specified time after enrollment. In the presence of missing data auxiliary assumptions are necessary to perform such comparisons. One commonly employed assumption is the missing at random assumption (MAR). The 'samon' package allows the user to perform a (parameterized) sensitivity analysis of this assumption. In particular it can be used to examine the sensitivity of tests in the difference in outcomes to violations of the MAR assumption. The sensitivity analysis can be performed under two scenarios, a) where the data exhibit a monotone missing data pattern (see the samon() function), and, b) where in addition to a monotone missing data pattern the data exhibit intermittent missing values (see the samonIM() function).

Authors:Daniel O. Scharfstein [aut], Aidan McDermott [aut, cre]

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samon.pdf |samon.html
samon/json (API)

# Install 'samon' in R:
install.packages('samon', repos = c('https://amcderm1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • DepWork1 - The depression and working status trial.
  • DepWork2 - The depression and working status trial.
  • P1Res001 - Data used in the man page examples.
  • P1Res002 - Data used in the man page examples.
  • P1Results - Data used in the man page examples.
  • P2Results - Data used in the man page examples.
  • PSummary1 - Data used in the man page examples.
  • PSummary2 - Data used in the man page examples.
  • PSummaryD - Data used in the man page examples.
  • V1Res001 - Data used in the man page examples.
  • V1Res002 - Data used in the man page examples.
  • V1Results - Data used in the man page examples.
  • V2Results - Data used in the man page examples.
  • VAS1 - The VAS randomized trial.
  • VAS2 - The VAS randomized trial.
  • VSummary1 - Data used in the man page examples.
  • VSummary2 - Data used in the man page examples.
  • VSummaryD - Data used in the man page examples.
  • samonPANSS1 - The PANSS randomized trial.
  • samonPANSS2 - The PANSS randomized trial.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.28 score 19 scripts 225 downloads 22 exports 0 dependencies

Last updated 1 years agofrom:9308e00a94. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64OKOct 08 2024
R-4.5-linux-x86_64OKOct 08 2024
R-4.4-win-x86_64OKOct 08 2024
R-4.4-mac-x86_64OKOct 08 2024
R-4.4-mac-aarch64OKOct 08 2024
R-4.3-win-x86_64OKOct 08 2024
R-4.3-mac-x86_64OKOct 08 2024
R-4.3-mac-aarch64OKOct 08 2024

Exports:alpha0TableResultsalpha0TableResultsIMalpha0Tablesalpha0TablesIMsamonsamonCombinesamonCombineIMsamonCrossSummarysamonCrossSummaryIMsamonDataChecksamonDifferenceSummarysamonDifferenceSummaryIMsamonECompleterStatussamonevalsamonevalIMsamonGensamonGenIMsamonIMsamonSummarysamonSummaryIMsamonTable1samonTabmat1

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Makes samon result tables at alpha = 0alpha0TableResults alpha0Tables
Makes samonIM result tables at sensitivity parameter alpha=0.alpha0TableResultsIM alpha0TablesIM
Data used in the man page examples.P1Res001 P1Res002 P1Results P2Results PSummary1 PSummary2 PSummaryD V1Res001 V1Res002 V1Results V2Results VSummary1 VSummary2 VSummaryD
Sensitivity Analysis for monotone missing datasamon
Combines results from separate runs of the samon functionsamonCombine
Combines results from separate runs of the samonIM functionsamonCombineIM
Summary function for the difference in effect of two treatments at different sensitivity parameters alpha.samonCrossSummary
Summary function for the difference in effect of two treatments at different sensitivity parameters.samonCrossSummaryIM
Samon Data ChecksamonDataCheck
Summary function for the difference in treatment effectsamonDifferenceSummary
Summary function for the difference in treatmentsamonDifferenceSummaryIM
Computes the difference in the expected value of non-completers and completerssamonECompleterStatus
Evaluates the loss function on a range of sigmassamoneval
Evaluates the loss function at a range of smoothing parameterssamonevalIM
Sensitivity Analysis for monotone missing datasamonGen
Sensitivity Analysis for monotone missing datasamonGenIM
samonIM: Sensitivity analysis for monotone missing and intermittent missing datasamonIM
Summary function for an object returned by the samon functionsamonSummary
Summary function for an object returned by the samonIM functionsamonSummaryIM
Summarizes two treatment groups.samonTable1 samonTabmat1
The PANSS randomized trial.samonPANSS1 samonPANSS2
The depression and working status trial.DepWork1 DepWork2
The VAS randomized trial.VAS1 VAS2