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2015, ISBN 1491910597, xiv, 182 pages
Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and... 
R (Computer program language)
Book
Journal of Statistical Software, ISSN 1548-7660, 2014, Volume 58, Issue 3, pp. 1 - 19
One of the key challenges in changepoint analysis is the ability to detect multiple changes within a given time series or sequence. The changepoint package has... 
Energy time series | Break points | R | Search methods | Segmentation | Bioinformatics | search methods | energy time series | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CHANGE-POINT | MODELS | break points | bioinformatics | segmentation | STATISTICS & PROBABILITY | ALGORITHMS
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 08/2014, Volume 59, Issue 5, pp. 1 - 38
In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the... 
Causal mechanisms | Mediation, R | Mediation analysis | causal mechanisms | mediation analysis | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | SENSITIVITY-ANALYSIS | STATISTICS & PROBABILITY | MECHANISMS | mediation | IDENTIFICATION
Journal Article
JOURNAL OF STATISTICAL SOFTWARE, ISSN 1548-7660, 12/2017, Volume 82, Issue 13, pp. 1 - 26
One of the frequent questions by users of the mixed model function lmer of the lme4 package has been: How can I get p values for the F and t tests for objects... 
lme4 | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ANOVA | Satterthwaite's approximation | linear mixed effects models | STATISTICS & PROBABILITY | denominator degree of freedom | denominator degree of freedom, Satterthwaite's approximation, ANOVA, R, linear mixed effects models, lme4
Journal Article
Computers and Geosciences, ISSN 0098-3004, 01/2017, Volume 98, pp. 64 - 72
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2017, Volume 80, Issue 1, pp. 1 - 28
The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions... 
MCMC | Stan | R | Bayesian inference | Multilevel model | Ordinal data | multilevel model | ordinal data | ITEM RESPONSE | LINEAR MIXED MODELS | BROWNE | STATISTICS & PROBABILITY | DISTRIBUTIONS | Stan R | ARTICLE | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | CONJUGATE
Journal Article
2014, Chapman & Hall/CRC computational science series, ISBN 9781439878859, xxv, 473
"Reviewing the historical development of basic algorithms to illuminate the evolution of today's more powerful statistical algorithms, this comprehensive... 
Data processing | Statistics | Algorithms
Book
Neurocomputing, ISSN 0925-2312, 05/2017, Volume 237, pp. 410 - 413
Cross-Entropy Clustering (CEC) is a model-based clustering method which divides data into Gaussian-like clusters. The main advantage of CEC is that it combines... 
Density estimation | Clustering | R package | Gaussian models | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Computer science | Analysis
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 09/2014, Volume 59, Issue 9, pp. 1 - 32
When testing for reduction of the mean value structure in linear mixed models, it is common to use an asymptotic chi(2) test. Such tests can, however, be very... 
F test | Linear mixed model | lme4 | Parametric bootstrap | R | Adjusted degree of freedom | Denominator degree of freedom | Bartlett correction | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | parametric bootstrap | STATISTICS & PROBABILITY | linear mixed model | adjusted degree of freedom | denominator degree of freedom | LIKELIHOOD
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2008, Volume 27, Issue 2, pp. 1 - 43
Panel data econometrics is obviously one of the main fields in the profession, but most of the models used are difficult to estimate with R. plm is a package... 
R | Panel data | Covariance matrix estimators | Generalized method of moments | Business administration | Economies and finances | Humanities and Social Sciences | panel data | generalized method of moments | covariance matrix estimators
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2008, Volume 28, Issue 5, pp. 1 - 26
The caret package, short for classification and regression training, contains numerous tools for developing predictive models using the rich set of models... 
Parallel processing | R | Model building | NetWorkSpaces | Tuning parameters | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | tuning parameters | STATISTICS & PROBABILITY | model building | ALGORITHMS | parallel processing
Journal Article
BMC Bioinformatics, ISSN 1471-2105, 08/2013, Volume 14, Issue 1, pp. 244 - 244
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2010, Volume 35, Issue 3, pp. 1 - 22
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2016, Volume 74, Issue 7, pp. 1 - 16
The package VIM (Templ, Alfons, Kowarik, and Prantner 2016) is developed to explore and analyze the structure of missing values in data using visualization... 
Imputation methods | Missing values | imputation methods | MISSING DATA | STATISTICS & PROBABILITY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MULTIPLE IMPUTATION | missing values
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2011, Volume 40, Issue 13, pp. 1 - 30
Topic models allow the probabilistic modeling of term frequency occurrences in documents. The fitted model can be used to estimate the similarity between... 
Variational EM | R | Text analysis | Gibbs sampling | Topic model | text analysis | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | topic model | variational EM | STATISTICS & PROBABILITY | LIKELIHOOD
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2008, Volume 25, Issue 4, pp. 1 - 22
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 2014, Volume 61, Issue 6, pp. 1 - 36
Clustering is the partitioning of a set of objects into groups (clusters) so that objects within a group are more similar to each others than objects in... 
Cluster validity | Number of clusters | k-means | Indices | Clustering | Hierarchical clustering | R package | VALIDATION | STATISTICS & PROBABILITY | cluster validity | number of clusters | indices | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | hierarchical clustering | clustering | GROUPING DATA | CRITERION | INDEXES | Statistics | Mathematics | Computer Science
Journal Article
Journal of Statistical Software, ISSN 1548-7660, 08/2015, Volume 66, Issue 5, pp. 1 - 21
Journal Article
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