MBPLS vs SAS/STAT
MBPLS
mbpls.readthedocs.ioSAS/STAT
sas.comSide by side
| Figure | MBPLS | SAS/STAT |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 1 |
| Spec score · Statistical Analysis Software | 6.9 (#100) | 8.9 (#4) |
| Missing data | The package documentation says it is designed to handle missing data. | Its listed missing data capabilities include multiple imputation and imputation for survey data. |
| Purpose | MBPLS is a Python package for Partial Least Squares prediction modeling with univariate or multivariate outcomes. | SAS/STAT provides statistical analysis tools for specialized and enterprise-wide analytics. |
| Regression models | Yes | Yes |
Plans
In their own words
SAS/STAT
SAS/STAT is statistical analysis software for specialized and enterprise-wide analytics. Its library includes more than 90 procedures for methods such as regression, survey and survival analysis, multiple imputation and Bayesian modeling. Other documented areas include ANOVA, categorical, cluster, multivariate and nonparametric analysis, as well as propensity scores and causal treatment-effect estimation. Methods are available for small data sets, missing values and large data tasks. SAS describes 14 SAS/STAT procedures as multithreaded and makes 12 SAS High-Performance Statistics procedures available for single-machine use. Predictive modeling options include regression, generalized additive, mixed and nonlinear models, and decision trees. Hundreds of statistical graphs and customizable graphics are included. SAS says the software runs on major computing platforms, accesses nearly any data source and integrates into computing environments. A free trial provides access to SAS Viya in a private trial environment. Pricing is available on request. SAS lists SAS/STAT on the SAS Viya platform and SAS/STAT 15.4 among its most recent releases.