SQUAREM - Squared Extrapolation Methods for Accelerating EM-Like Monotone Algorithms
Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such as the EM algorithm. 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("SQUAREM"). Refer to the J Stat Software article: <doi:10.18637/jss.v092.i07>.
Last updated 4 years ago
9.27 score 2 stars 474 packages 84 scripts 130k 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.
Last updated 1 years ago
5.62 score 17 packages 224 scripts 4.6k 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.
Last updated 1 years ago
5.28 score 1 stars 71 packages 122 scripts 7.3k 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").
Last updated 3 years ago
3.64 score 6 packages 24 scripts 563 downloadscondMVNorm - Conditional Multivariate Normal Distribution
Computes conditional multivariate normal densities, probabilities, and random deviates.
Last updated 5 years ago
3.23 score 2 stars 7 packages 28 scripts 1.4k 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.
Last updated 9 years ago
2.52 score 111 scripts 215 downloadscrrstep - Stepwise Covariate Selection for the Fine & Gray Competing Risks Regression Model
Performs forward and backwards 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.
Last updated 6 days ago
1.30 score 2 stars 4 scripts 279 downloadsresilience - Predictors of Resilience to a Stressor in a Single-Arm Study
Studies of resilience in older adults employ a single-arm design where everyone experiences the stressor. The simplistic approach of regressing change versus baseline yields biased estimates due to regression-to-the-mean. This package provides a method to correct the bias. It also allows covariates to be included. The method implemented in the package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2023), Biostatistics (To appear).
Last updated 2 months ago
1.30 score 3 scripts 192 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>.
Last updated 2 months ago
1.15 score 14 scripts 338 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.
Last updated 1 years ago
1.00 score 1 scripts 197 downloads