GPCERF vs SAS/STAT
GPCERF
nsaph-software.github.ioSAS/STAT
sas.comSide by side
| Figure | GPCERF | SAS/STAT |
|---|---|---|
| Price from | — | — |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 1 |
| Spec score · Statistical Analysis Software | 6.8 (#101) | 8.9 (#4) |
| Bayesian analysis | Yes | Yes |
| Deployment | desktop | both |
| Intended users | The documented workflows estimate causal exposure-response functions from observational or simulated data. | SAS describes SAS/STAT as designed for both specialized and enterprise-wide analytics. |
| Methods | The package provides Gaussian process and nearest-neighbor Gaussian process approaches for nonparametric modeling. | Its methods range from analysis of variance and linear regression to Bayesian inference and high-performance model selection. |
| Purpose | GPCERF estimates causal effects of a continuous exposure and detects change points in causal exposure-response curves using observational data. | SAS/STAT provides statistical analysis tools for specialized and enterprise-wide analytics. |
| Support | The README directs users to report issues on GitHub and says they can seek assistance through GitHub Discussions or issues. | SAS lists SAS/STAT on the SAS Viya platform and SAS/STAT 15.4 among its most recent releases. |
Plans
In their own words
GPCERF
GPCERF has no write-up on Specifiction yet; its figures are above.
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.