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bdots (version 2.0.0)

Bootstrapped Differences of Time Series

Description

Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) .

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Version

Install

install.packages('bdots')

Monthly Downloads

455

Version

2.0.0

License

GPL-3

Issues

3

Pull Requests

0

Stars

2

Forks

2

Maintainer

Collin Nolte

Last Published

July 30th, 2025

Functions in bdots (2.0.0)

curveFitter

Curve Fitter
df_cohort_unrelated

df_cohort_unrelated dataset
df_target

df_target dataset
print.bdotsPars_ttest2

Print Parameter Test Summary
findModifiedAlpha

Find modified alpha
plot.bdotsObj

Plot a bdotsFit object
getSubCurveValues

Return fitted values
getT

Generate t-distribution for permutation
polynomial

Polynomial curve function for nlme
print.bdotsSummary

Print bdotsObj Summary
p_adjust

Adjust P-values for Multiple Comparisons
logistic_sac

Logistic saccade curve function for nlme
expCurve

Exponential curve function
fwerAlpha

fwerAlpha
getFitCorforGroups

Get Fit Correlations
parTest2

Parameter t-test
getBootDistUnpaired

Create Distribution for Groups
doubleGauss_sac

Double Gauss curve function for nlme
doubleGauss

Double Gauss curve function for nlme
coefWriteout

Create data.table with bdotsObj parameters
doubleGauss2

DoubleGauss2 curve function for nlme
effectiveAlpha_f

Effective Alpha Functional
getBootDistPaired

Create distribution for paired groups
linear

Linear curve function
plot.bdotsBootObj

Plot for object of class bdotsBootObj
permTest

Permutation testing for bboot
logistic

Logistic curve function for nlme
getTDist

Get null distribution of permutation
plot.bdotsCorrObj

Plots for bdotsCorr
split.bdotsObj

Split object of class bdotsObj
print.bdotsBootSummary

Print bdotsBoot Summary
target

target dataset
print.bdotsBootObj

Print `bdotsBootObj`
isDODpaired

Difference of difference pairing
writeCSV

Write fits from bdotsBoot to csv file
summary.bdotsBootObj

Summary for bdotsBootObj
summary.bdotsObj

Summary for bdotsObj
subset.bdotsBootObj

Subset a nested group bdotsBoot objects
ar1Solver

Compute AR1 correlation coefficient
bcorr

Correlation with fixed value in bdots
bdotsBoot

Create bootstrapped curves from bdotsObj
bdotsFit

Fit nlme curves to grouped observations
bdRemove

bdots Remove Function
bdotsFitter

Fits Individual Subject Curve
brefit

Refit Observations Returned from bdotsFit
ci

ci dataset
bool2idx

Need to turn T/F into indices and I think I have an idea how
brbindlist

Rbindlist for bdots objects
bfit

Fit nlme curves to grouped observations
bdotsRefit

Refit Observations Returned from bdotsFit
createCurveList

Create old bdots curve list
cohort_unrelated

cohort_unrelated dataset
bboot

Create bootstrapped curves from bdotsObj
coef.bdotsObj

Extract bdotsFit Moedel Coefficients
bdotsCorr

Correlation with fixed value in bdots
createGroupDists

Create bootstrapped distribution of groups