Facilitate Clinical Trials Analysis Using Natural Cubic Splines

Documentation for package ‘splinetrials’ version 0.1.0

bin_timepoints	Categorize Observed Timepoints According to Scheduled Timepoints
change_from_baseline	Calculate the Change from Baseline or Treatment Effects from Estimated Marginal Means
make_visit_labels	Make Visit Labels Based on a Numeric Vector
midpoints	Midpoints of a Numeric Vector
ncs_analysis	Run a Natural Cubic Spline (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.
treatment_effect	Calculate the Change from Baseline or Treatment Effects from Estimated Marginal Means