robumeta - Robust Variance Meta-Regression
Functions for conducting robust variance estimation (RVE) meta-regression using both large and small sample RVE estimators under various weighting schemes. These methods are distribution free and provide valid point estimates, standard errors and hypothesis tests even when the degree and structure of dependence between effect sizes is unknown. Also included are functions for conducting sensitivity analyses under correlated effects weighting and producing RVE-based forest plots.
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8.29 score 9 stars 4 dependents 260 scripts 3.5k downloadsMIIVsem - Model Implied Instrumental Variable (MIIV) Estimation of Structural Equation Models
Functions for estimating structural equation models using instrumental variables.
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6.23 score 11 stars 2 dependents 32 scripts 526 downloadsmultivar - Penalized Estimation of Multiple-Subject Vector Autoregressive Models
Simulate, estimate, and forecast vector autoregressive (VAR) models for multiple-subject data using structured penalization. Decomposes dynamics into shared (common) and subject-specific (unique) components via adaptive LASSO with FISTA optimization. Supports cross-validation and extended BIC model selection and subgroup detection, and time-varying parameters.
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openblascppopenmp
2.72 score 1 stars 53 scripts 441 downloads