Package index • splinetrials

All functions

bin_timepoints(): Categorize Observed Timepoints According to Scheduled Timepoints
make_visit_labels(): Make Visit Labels Based on a Numeric Vector
midpoints(): Midpoints of a Numeric Vector
ncs_analysis() ncs_analysis_subgroup(): Run a Natural Cubic Spline (NCS) Analysis.
ncs_emmeans(): Estimate Marginal Means for a Natural Cubic Splines Analysis
ncs_mmrm_fit(): Create a Mixed Model with Repeated Measures Using Natural Cubic Splines.
ncs_plot_means(): Plot Actual and Predicted Response Variable Means by Study Arm.
ncs_plot_means_subgroup(): Plot Actual and Predicted Response Variable Means by Study Arm and Subgroup.
percent_slowing_using_change_from_bl(): Calculates Percent Slowing from a Data Frame of Change-from-Baseline Data
plot_outcome_by_visit_and_group(): Plot Outcome Variable by Timepoint and Study Arm
splinetrials_analysis-class: splinetrials_analysis object
splinetrials_subgroup_analysis-class: splinetrials_subgroup_analysis object
time_spline(): Create Natural Cubic Spline Approximations for Continuous Time
time_spline_basis(): Natural Cubic Spline Basis Matrix for Continuous Time.
change_from_baseline() treatment_effect(): Calculate the Change from Baseline or Treatment Effects from Estimated Marginal Means