Package: bdots 1.2.0

bdots: Bootstrapped Differences of Time Series

Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <doi:10.1177/0962280215607411>.

Authors:Collin Nolte, Michael Seedorff, Jacob Oleson, Grant Brown, Joseph Cavanaugh, and Bob McMurray

bdots_1.2.0.tar.gz
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bdots.pdf |bdots.html✨
bdots/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/collinn/bdots/issues

Datasets:

On CRAN:

5.45 score 2 stars 35 scripts 390 downloads 15 exports 31 dependencies

Last updated 6 months agofrom:4630650a44. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-winWARNINGNov 03 2024
R-4.5-linuxWARNINGNov 03 2024
R-4.4-winWARNINGNov 03 2024
R-4.4-macWARNINGNov 03 2024
R-4.3-winWARNINGNov 03 2024
R-4.3-macWARNINGNov 03 2024

Exports:ar1SolverbdotsBootbdotsCorrbdotsFitbdotsRefitbdRemovecoefWriteoutdoubleGaussdoubleGauss2expCurvelinearlogisticp_adjustpolynomialwriteCSV

Dependencies:clicolorspacedata.tablefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

bdots

Rendered frombdots.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2022-11-10
Started: 2020-10-09

correlations

Rendered fromcorrelations.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2022-11-10
Started: 2022-03-10

Refit with Saved Parameters

Rendered fromrefitCoef.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2022-11-10
Started: 2021-03-24

User Curve Functions

Rendered fromcustomCurves.Rmdusingknitr::rmarkdownon Nov 03 2024.

Last update: 2022-11-10
Started: 2021-03-02

Readme and manuals

Help Manual

Help pageTopics
Compute AR1 correlation coefficientar1Solver
Create bootstrapped curves from bdotsObjbdotsBoot
Correlation with fixed value in bdotsbdotsCorr
Fit nlme curves to grouped observationsbdotsFit
Fits Individual Subject CurvebdotsFitter
Refit Observations Returned from bdotsFitbdotsRefit
bdots Remove FunctionbdRemove
ci datasetci
Extract bdotsFit Moedel Coefficientscoef.bdotsObj
Create 'data.table' with 'bdotsObj' parameterscoefWriteout
cohort_unrelated datasetcohort_unrelated
Create old bdots curve listcreateCurveList
Curve FittercurveFitter
df_cohort_unrelated datasetdf_cohort_unrelated
df_target datasetdf_target
Double Gauss curve function for nlmedoubleGauss
DoubleGauss2 curve function for nlmedoubleGauss2
Effective Alpha FunctionaleffectiveAlpha_f
Exponential curve functionexpCurve
Find modified alphafindModifiedAlpha
fwerAlphafwerAlpha
Create Distribution for GroupsgetBootDist
Get Fit CorrelationsgetFitCorforGroups
Return fitted valuesgetSubCurveValues
Generate t-distribution for permutationgetT
Linear curve functionlinear
Logistic curve function for nlmelogistic
Adjust P-values for Multiple Comparisonsp_adjust
Parameter t-testparTest2
Permutation testing for bbootpermTest
Plot for object of class bdotsBootObjplot.bdotsBootObj
Plots for bdotsCorrplot.bdotsCorrObj
Plot a bdotsFit objectplot.bdotsObj
Polynomial curve function for nlmepolynomial
Print `bdotsBootObj`print.bdotsBootObj
Print bdotsBoot Summaryprint.bdotsBootSummary
Print Parameter Test Summaryprint.bdotsPars_ttest2
Print bdotsObj Summaryprint.bdotsSummary
rbindlist for bdotsObjectsrbindlist.bdObjList
Split object of class bdotsObjsplit.bdotsObj
Subset a nested group bdotsBoot objectssubset.bdotsBootObj
Summary for bdotsBootObjsummary.bdotsBootObj
Summary for bdotsObjsummary.bdotsObj
target datasettarget
Write fits from 'bdotsBoot' to csv filewriteCSV