close

Showing 3 of total 3 results (show query)

dusadrian

QCA:Qualitative Comparative Analysis

An extensive set of functions to perform Qualitative Comparative Analysis: crisp sets ('csQCA'), temporal ('tQCA'), multi-value ('mvQCA') and fuzzy sets ('fsQCA'), using a GUI - graphical user interface. 'QCA' is a methodology that bridges the qualitative and quantitative divide in social science research. It uses a Boolean minimization algorithm, resulting in a minimal causal configuration associated with a given phenomenon.

Maintained by Adrian Dusa. Last updated 2 months ago.

2 stars 6.78 score 110 scripts 4 dependents

cran

randomUniformForest:Random Uniform Forests for Classification, Regression and Unsupervised Learning

Ensemble model, for classification, regression and unsupervised learning, based on a forest of unpruned and randomized binary decision trees. Each tree is grown by sampling, with replacement, a set of variables at each node. Each cut-point is generated randomly, according to the continuous Uniform distribution. For each tree, data are either bootstrapped or subsampled. The unsupervised mode introduces clustering, dimension reduction and variable importance, using a three-layer engine. Random Uniform Forests are mainly aimed to lower correlation between trees (or trees residuals), to provide a deep analysis of variable importance and to allow native distributed and incremental learning.

Maintained by Saip Ciss. Last updated 3 years ago.

cpp

4 stars 2.90 score

cran

QCApro:Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

Provides advanced functionality for performing configurational comparative research with Qualitative Comparative Analysis (QCA), including crisp-set, multi-value, and fuzzy-set QCA. It also offers advanced tools for sensitivity diagnostics and methodological evaluations of QCA.

Maintained by Alrik Thiem. Last updated 7 years ago.

1 stars 1.00 score

: