R: Facilitate Clinical Trials Analysis Using Natural Cubic Splines

# Facilitate Clinical Trials Analysis Using Natural Cubic Splines

## Documentation for package ‘splinetrials’ version 0.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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