**Our software resources are permanently archived at ****https://scholarsphere.psu.edu/collections/v41687m23q**.

The software is no longer supported by the Help Desk. For the latest software and research updates, visit the sites of our investigators: Bethany Bray (LCA & LTA), Linda Collins (MOST), Stephanie Lanza (TVEM), Runze Li (ILD, Variable Screening/Selection), Susan Murphy (JITAI), and University of Michigan’s d3lab (SMART).

## 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 Covariates 3-Step

LCA Distal

LCA Graphics

LCA Bootstrap

Simulate LCA Dataset

LCA Stata plugin

Stata plugin for latent class analysis

*Functions for use with the LCA Stata plugin*

LCA Bootstrap Stata

LCA Distal Stata

WinLTA

Standalone program for latent transition analysis

LCA outcome probability calculator

for Microsoft Excel

Latent Class Causal Analysis

R package

## 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

## 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.)

## Just-in-Time 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**