Bootstrapped Differences of Time Series
Compute AR1 correlation coefficient
Create bootstrapped curves from bdotsObj
Correlation with fixed value in bdots
Fit nlme curves to grouped observations
Fits Individual Subject Curve
Refit Observations Returned from bdotsFit
bdots Remove Function
Extract bdotsFit Moedel Coefficients
Create data.table with bdotsObj parameters
cohort_unrelated dataset
Curve Fitter
df_cohort_unrelated dataset
df_target dataset
Double Gauss curve function for nlme
DoubleGauss2 curve function for nlme
Effective Alpha Functional
Exponential curve function
Find modified alpha
fwerAlpha
Get Fit Correlations
Return fitted values
Linear curve function
Logistic curve function for nlme
Adjust P-values for Multiple Comparisons
Parameter t-test
Plot for object of class bdotsBootObj
Plots for bdotsCorr
Plot a bdotsFit object
Polynomial curve function for nlme
Print bdotsBootObj
Print bdotsBoot Summary
Print Parameter Test Summary
Print bdotsObj Summary
rbindlist for bdotsObjects
Split object of class bdotsObj
Subset a nested group bdotsBoot objects
Summary for bdotsBootObj
Summary for bdotsObj
target dataset
Write fits from bdotsBoot to csv file
Analyze differences among time series curves with p-value adjustment for multiple comparisons introduced in Oleson et al (2015) <DOI:10.1177/0962280215607411>.