Showing 5 of total 5 results (show query)
kkholst
lava:Latent Variable Models
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
Maintained by Klaus K. Holst. Last updated 3 months ago.
latent-variable-modelssimulationstatisticsstructural-equation-models
33 stars 12.87 score 610 scripts 478 dependents
bioc
topGO:Enrichment Analysis for Gene Ontology
topGO package provides tools for testing GO terms while accounting for the topology of the GO graph. Different test statistics and different methods for eliminating local similarities and dependencies between GO terms can be implemented and applied.
Maintained by Adrian Alexa. Last updated 5 months ago.
8.96 score 2.0k scripts 20 dependents
cran
MuMIn:Multi-Model Inference
Tools for model selection and model averaging with support for a wide range of statistical models. Automated model selection through subsets of the maximum model, with optional constraints for model inclusion. Averaging of model parameters and predictions based on model weights derived from information criteria (AICc and alike) or custom model weighting schemes.
Maintained by Kamil Bartoń. Last updated 16 hours ago.
8 stars 6.48 score 28 dependents
bpfaff
FRAPO:Financial Risk Modelling and Portfolio Optimisation with R
Accompanying package of the book 'Financial Risk Modelling and Portfolio Optimisation with R', second edition. The data sets used in the book are contained in this package.
Maintained by Bernhard Pfaff. Last updated 8 years ago.
11 stars 4.71 score 94 scriptsbioc
Rtreemix:Rtreemix: Mutagenetic trees mixture models.
Rtreemix is a package that offers an environment for estimating the mutagenetic trees mixture models from cross-sectional data and using them for various predictions. It includes functions for fitting the trees mixture models, likelihood computations, model comparisons, waiting time estimations, stability analysis, etc.
Maintained by Jasmina Bogojeska. Last updated 1 months ago.
2.86 score 12 scripts