## Latent Class Analysis & Latent Transition Analysis

PROC LCA & PROC LTA

SAS procedures for latent class analysis & latent transition analysis SAS macros for use with PROC LCA

LCA Stata plugin

plugin for latent class analysis Functions for use with the LCA Stata plugin

WinLTA

Standalone program for latent transition analysis

LCA outcome probability calculator

for Microsoft Excel

Latent Class Causal Analysis

R package

## Adaptive Interventions

Micro-randomized trials (MRTs) A sample size calculator for micro-randomized trials is available both as a web applet and as an R package hosted on CRAN

R code for assessing time-varying causal effect moderation

For analyzing data from an MRT

## Sequential, multiple assignment, randomized trial (SMART)

- SAS code to
**compare embedded adaptive interventions** **qlaci**R package for informing the development of adaptive interventions**PROC QLEARN**SAS procedure for informing the development of adaptive intervention

### SMART sample size applets

- Applet for
**selecting the best embedded adaptive intervention**in a SMART based on a continuous outcome - Applet for
**comparing two embedded adaptive interventions**in a SMART based on a survival outcome - Applet for calculating the minimum
**sample size for a pilot SMART** - Applet for calculating the minimum
**sample size for SMARTs with Binary or Continuous Outcomes**

## Optimizing Interventions

### Multiphase optimization strategy (MOST)

RelativeCosts1

SAS macro for charting the relative cost of reduced factorial designs

FactorialPowerPlan

SAS macro for calculating the power, effect size, or sample size of a factorial experiment

Random assignment generator for factorial experiments

Web applet that provides a list of random numbers that can be used to assign participants to conditions in an experiment with many conditions

MOST Toolkit for R

R package for implementing functionality of other MOST software in R. (Hosted on CRAN.)

## Variable Selection

PROC SCADLS & PROC SCADGLIM

SAS procedures for variable selection

VariableScreening

R package for high-dimensional screening in semiparametric, longitudinal regression (Hosted on CRAN.)

## Time-Varying Effect Modeling (TVEM)

TVEM

SAS macro for time-varying effect modeling

Weighted TVEM

SAS TVEM macro that accommodates survey weights and clusters