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LatentGOLD

Freemium#29 of 106 in Statistical Analysis Software

LatentGOLD: A deep Windows tool for researchers focused on latent and mixture models. Ranked #29 of 106 in Statistical Analysis Software by our editors (6.6/10); pricing: Free plan · 14-day trial; best for latent-class and mixture modeling.

6.6/10Editor score
LatentGOLD6.6 Visit LatentGOLD

At a glance

  • Editor score
    6.6 / 10
  • Pricing
    Free plan · 14-day trial
  • Best for
    Latent-class and mixture modeling
  • Free plan
    Yes
  • Paid from
    €45/user/yr
  • Deployment
    Desktop
  • Facts checked
    20 Sep 2026
LatentGOLD screenshot
  • Where it wins

    • Covers latent class, mixture, Markov, factor, item-response, and choice models
    • Supports advanced specifications through LG-equations syntax
    • Academic plans include free single-user and €45 concurrent-user options
  • Where it doesn't

    • Windows-only installation limits platform flexibility
    • Its specialized scope may not suit broad statistical workflows
    • Annual prices exclude VAT, and concurrent licensing requires at least two users

Our verdict on LatentGOLD

LatentGOLD is Windows desktop software for latent class analysis, latent profile analysis, finite mixture modeling, regression, growth and longitudinal analysis, discrete choice modeling, and related latent-variable methods. It is aimed at researchers, universities, market researchers, consultants, data analysts, and academic, commercial, government, and nonprofit users. Its strongest fit is for teams that need specialized modeling rather than a general-purpose statistics environment.

Pricing is structured around annual per-user licensing. The Academic Single User plan for Basic + Advanced/Syntax is €0 per user per year, while the Academic Concurrent User plan is €45 per user per year and includes concurrent-user licensing. Adding Choice raises the Academic Concurrent User price to €95 per user per year; the Academic Single User version remains €0. Standard Single User pricing for Basic + Advanced/Syntax is €795 per user per year. Concurrent plans are priced per user with a minimum of two users, and annual prices exclude VAT. A 14-day free trial is also available. The plan structure gives academic users a low-cost entry point, while Choice capabilities are separated into higher tiers.

The product’s depth is concentrated in latent-variable work. Its modules cover binary, nominal, ordinal, count, continuous, and mixed-variable cluster analysis, discrete factor models, latent class regression and growth analysis, Step3 analysis with covariates and distal outcomes, latent Markov and transition models, multilevel mixture models, and discrete choice formats including ranking, best-worst, rating, and allocation data. LG-equations syntax adds control for advanced specifications. That focus makes LatentGOLD a strong choice for specialist research, but a less natural fit for users seeking broad statistical coverage or cross-platform deployment. Installation is supported only on Windows, although some users run it on macOS through emulation or virtual machines.

Your product? Our editors can test LatentGOLD in depth and publish a review, labelled as paid · from $149/mo →

LatentGOLD pricing

Plans Free plan · 14-day trialFreemium A usable free plan; paid tiers unlock the limits above. Prices checked 20 Sep 2026.
See plans on statisticalinnovations.com

All 8 LatentGOLD plans and prices →

LatentGOLD fact sheet

Free planYes
Paid from€45/user/yr
DeploymentDesktop
Statistical testsYes
Regression modelsYes
Scripting supportYes
Bayesian analysisNot verified
Data import formatsASCII text; SPSS system files
Free trial14 days
DeploymentDesktop
PlatformsWindows
SupportEmail, Docs
Built forSolo, Small business, Mid-market (editorial estimate)
PricingFree plan · 14-day trial (source)
Websitestatisticalinnovations.com
Facts checked20 Sep 2026

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Featured on iTechGuides

Featured on iTechGuides — LatentGOLD 6.6/10

LatentGOLD is listed in our Statistical Analysis Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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