Artifacts using DiagrammeR (5)
Sort:
popular
|
newest
1. SEM9 usages
org.renjin.cran » semGPL
Functions for fitting general linear structural equation models (with observed and latent variables) using the RAM approach, and for fitting structural equations in observed-variable models by two-stage least squares.
Last Release on Feb 15, 2021
2. Tree2 usages
org.renjin.cran » data.treeGPL
Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Last Release on Feb 16, 2021
3. GSEM
org.renjin.cran » gSEMGPL
Conducts a semi-gSEM statistical analysis (semi-supervised generalized structural equation modeling) on a data frame of coincident observations of multiple predictive or intermediate variables and a final continuous, outcome variable, via two functions sgSEMp1() and sgSEMp2(), representing fittings based on two statistical principles. Principle 1 determines all sensible univariate relationships in the spirit of the Markovian process. The relationship between each pair of variables, including predictors and ...
Last Release on May 1, 2022
4. Muir
org.renjin.cran » muirGPL
A simple tool allowing users to easily and dynamically explore or document a data set using a tree structure.
Last Release on Apr 30, 2022
Plot a PRISMA <http://prisma-statement.org/> flow chart describing the identification, screening, eligibility and inclusion or studies in systematic reviews. PRISMA is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses. PRISMA focuses on the reporting of reviews evaluating randomized trials, but can also be used as a basis for reporting systematic reviews of other types of research, particularly evaluations of interventions.
Last Release on May 1, 2022
- Prev
- 1
- Next