SQUAREM - Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mappings such as the EM algorithm. It can be used to accelerate any smooth, linearly convergent scheme. A tutorial-style introduction is available in vignette("SQUAREM"). See also: Varadhan & Roland (2008) <doi:10.18637/jss.v092.i07>.
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9.46 score 2 stars 574 dependents 86 scripts 161k downloadsBB - Solving and Optimizing Large-Scale Nonlinear Systems
Barzilai-Borwein spectral methods for solving nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("BB").
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8.20 score 2 stars 65 dependents 213 scripts 9.6k downloadsdfoptim - Derivative-Free Optimization
Derivative-Free optimization algorithms. These algorithms do not require gradient information. More importantly, they can be used to solve non-smooth optimization problems.
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6.50 score 25 dependents 335 scripts 16k downloadsalabama - Constrained Nonlinear Optimization
Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing smooth nonlinear objective functions with constraints. Linear or nonlinear equality and inequality constraints are allowed.
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5.56 score 1 stars 76 dependents 110 scripts 15k downloadsturboEM - A Suite of Convergence Acceleration Schemes for EM, MM and Other Fixed-Point Algorithms
Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM and MM algorithms. It can be used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this package is available in a vignette on the CRAN download page or, when the package is loaded in an R session, with vignette("turboEM").
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3.64 score 6 dependents 24 scripts 602 downloadscrrstep - Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
Performs forward and backward stepwise regression for the proportional subdistribution hazards model in competing risks (Fine & Gray 1999). Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty of k = log(n*), where n* is the number of primary events. This version includes improved handling of factors, interactions, and polynomial terms.
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3.20 score 2 stars 6 scripts 273 downloadscondMVNorm - Conditional Multivariate Normal Distribution
Computes conditional multivariate normal densities, probabilities, and random deviates.
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2.94 score 2 stars 3 dependents 40 scripts 1.2k downloadsfeatures - Feature Extraction for Discretely-Sampled Functional Data
Discretely-sampled function is first smoothed. Features of the smoothed function are then extracted. Some of the key features include mean value, first and second derivatives, critical points (i.e. local maxima and minima), curvature of cunction at critical points, wiggliness of the function, noise in data, and outliers in data.
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2.57 score 125 scripts 613 downloadsanoint - Analysis of Interactions
The tools in this package are intended to help researchers assess multiple treatment-covariate interactions with data from a parallel-group randomized controlled clinical trial. The methods implemented in the package were proposed in Kovalchik, Varadhan and Weiss (2013) <doi: 10.1002/sim.5881>.
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1.15 score 14 scripts 212 downloadsDSBayes - Bayesian Subgroup Analysis in Clinical Trials
Calculate posterior modes and credible intervals of parameters of the Dixon-Simon model for subgroup analysis (with binary covariates) in clinical trials. For details of the methodology, please refer to D.O. Dixon and R. Simon (1991), Biometrics, 47: 871-881.
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1.00 score 1 scripts 173 downloads