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ANOVA Bayesian Bioinformatics Bioinformatics & Biostatistics Biostatistics C++ Cancer Chemoinformatics Classification Clustering Copynumber DNA Ecology Economics Finance GUI Genetic Algorithms Genetics HTML Machine Learning Machine learning Mixture Multiple Comparisons Multivariate Analysis Multivariate Regression Multivariate Techniques Next generation Sequencing ODE Phylogeny R R-Forge Rcmdr Regression SNP Statistics Time series Visualization Whole-genome bioinformatics biostatistics break detection categorical change detection classification clustering community ecology data mining database datasets dissimilarity distance distributions diversity dynamic systems ecological models ecology econometrics economics epidemiology finance gene expression generalized linear models genetics graphics high dimentional data likelihood linear models linear programming machine learning microarray missing data missing values mixed effect models mixed model model comparison model estimation model selection movement multivariate multivariate regression multivariate statistics non-parametrics nonlinear models nonparametric optimization parametric model permutation tests phylogeny plotting political analysis prediction psychology raster regression remote sensing reporting robust robust statistics simulation soil spatial spatial autocorrelation spatial classes spatial data spatial methods spatial point patterns spatial regression spatio-temporal species distribution models survival teaching text mining time series visualization

18 projects in result set.
Analysis of Count Time Series - R package which provides likelihood-based methods for model fitting and assessment, prediction and intervention analysis of count time series following generalized linear models.
Tags: time series, autocorrelation, break detection, change detection, regression, count data

Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-04-04 13:48

Applied Predictive Modeling - The package is an R companion to the Springer book "Applied Predictive Modeling". It contains several functions and data sets used in the text, as well as R scripts to re-create the analyses in each chapter.
Tags: Classification, Machine Learning, Machine learning, Regression, classification, machine learning, regression
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-02-08 18:59

Bayes factors - R functions for the computation of Bayes factors in common psychological experimental designs
Tags: ANOVA, Bayesian, linear models, marginal likelihood, mixed effect models, model comparison, model estimation, model selection, regression

Activity Percentile: 0
Activity Ranking: 0
Registered: 2009-09-29 14:02

Clusterwise Effect Regression - This software implements an algorithm that proposes variable clustering within high dimensional linear and probit regression models. The estimation strategy is based on mixed Gibbs Sampling and Stochastic EM algorithm.
Tags: C++, Clustering, biostatistics, high dimentional data, multivariate regression, regression
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-08-20 09:47

DepthProc - The Depth induced statistical Procedures (DepthProc) project consist of a set of statistical procedures based on so called statistical depth functions. The project involves free available R package and its description.
Tags: statistical depth function, robust, statistical procedure, multivariate statistics, multivariate, regression, robust statistics
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-11-08 15:50

Dynamic Treatment Regimes - A package implementing several modern methods to estimate Dynamic Treatment Regimes: Q-Learning, Interactive Q-Learning, and two value-search methods each using Augmented Inverse Probability Weighted Estimators or Inverse Probability Weighted Estimators.
Tags: Regression, causal inference, dynamic programming, longitudinal data, regression, robust, robust statistics

Activity Percentile: 0
Activity Ranking: 0
Registered: 2015-01-20 22:09

Likelihood-based Imprecise Regression - Implementation of Likelihood-based Imprecise Regression (LIR)
Tags: Imprecision, likelihood, regression
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-06-08 16:04

NullSens - Partitioning Abiotic and Biotic Contributions to Community Variation
Tags: Ecology, Multivariate Analysis, Multivariate Regression, bioinformatics, community ecology, community null model, ecological Inference, ecological models, ecology, linear models, model estimation, model performance, molecular ecology, multivariate regression, nonparametric, null model, parametric model, permutation tests, prediction, regression, robust statistics, simulations, spatial regression, spatio-temporal statistics, species abundance model, species distributions, statistical inference, variance partitioning
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2014-05-05 19:49

Probabilistic Index Models - Developing an R-package for a new class of regression models: Probabilistic Index Models.
Tags: Probabilistic Index Models, regression, modeling, nonparametric, semiparametric, Bioinformatics, Bioinformatics & Biostatistics, Biostatistics, Multiple Comparisons, Regression, biostatistics

Activity Percentile: 0
Activity Ranking: 0
Registered: 2011-06-09 14:01

The DataRobot R package - The DataRobot R package is an API for the DataRobot modeling engine, which fits a large, diverse collection of prediction models to a dataset. This API allows the user to build models, retrieve key characteristics, and generate predictions from new data.
Tags: API, DataRobot, R, machine learning, modeling, prediction, regression
This project has not yet categorized itself in the Trove Software Map


Activity Percentile: 0
Activity Ranking: 0
Registered: 2015-05-26 15:13

abernethy reliability methods - Implementation of functions supporting reliability analyis methods presented in "The New Weibull Handbook" by Dr. Robert B. Abernethy.
Tags: Reliability, C++, R, Regression, Weibull, competing risks models, distribution diagnostics, likelihood, lognormal, optimization, parametric model, quantile regression, regression, sampling, survival, visualization

Activity Percentile: 0
Activity Ranking: 0
Registered: 2012-12-30 16:40

cusp - Package for applying Cobb's maximum likelihood method to fitting cusp catastrophe models to data. The package was published in the Journal of Statistical Software [see www.jstatsoft.org/v32/i08/paper].
Tags: cusp bifurcation, Ecology, Multivariate Analysis, Multivariate Regression, Multivariate Techniques, R, Regression, biostatistics, community ecology, fold bifurcation, hysteresis, model estimation, multivariate, multivariate regression, multivariate statistics, nonlinear equations, nonlinear models, political analysis, political science, psychology, psychometrics, regression, catastrophic shifts, critical transitions, dynamic systems, ecology, regime shifts

Activity Percentile: 0
Activity Ranking: 0
Registered: 2014-10-29 16:43

invest - inverse estimation - An R package for inverse estimation (i.e., calibration and regulation) in linear, nonlinear, generalized linear, and linear mixed-effects models.
Tags: calibration, regression, resampling methods

Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-02-19 23:58

lm.br - Exact significance tests for a changepoint in linear or multiple linear regression. Confidence intervals and confidence regions with exact coverage probabilities for the changepoint.
Tags: changepoint, breakpoint, brokenline regression, change detection, linear models, nonlinear models, regression, structural break, thresholds, break detection, Regression, Multivariate Regression, multivariate, multivariate regression, multiple regression, Multivariate Analysis

Activity Percentile: 0
Activity Ranking: 0
Registered: 2013-02-25 20:29

randomForest - randomForest provides an R interface to the classification and regression algorithm proposed by Leo Breiman.
Tags: classification, machine learning, random forest, regression

Activity Percentile: 0
Activity Ranking: 0
Registered: 2009-09-14 13:01

robustbase - Basic Robust Statistics - R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
Tags: robust statistics, regression, generalized linear models, multivariate, Multivariate Analysis, Regression, Reliability, linear models, nonlinear models, outlier detection

Activity Percentile: 0
Activity Ranking: 0
Registered: 2007-08-17 15:17

sandwich: Robust Covariance Estimation - An object-oriented implementation of model-robust covariances and standard error estimators for cross-sectional, time series, and longitudinal data.
Tags: regression, robust, covariance, HC, HAC

Activity Percentile: 93
Activity Ranking: 3
Registered: 2016-09-21 08:36

surveillance - The R-package 'surveillance' is a framework for the development of statistical methods for the modeling and change-point detection in time series of counts, proportions and categorical data as well as continuous-time epidemic like point process phenomena.
Tags: Ecology, autocorrelation, biostatistics, break detection, categorical, change detection, disease mapping, dynamic systems, ecology, event histories, model specification, regression, spatial, spatial data, spatial methods, spatio-temporal, spatio-temporal point patterns

Activity Percentile: 0
Activity Ranking: 0
Registered: 2007-06-19 14:46

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