Search Results - "Journal of statistical software"

lmerTest Package: Tests in Linear Mixed Effects Models by Kuznetsova, Alexandra, Brockhoff, Per B., Christensen, Rune H. B.

“…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…”
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stm : An R Package for Structural Topic Models by Roberts, Margaret E., Stewart, Brandon M., Tingley, Dustin

“…This paper demonstrates how to use the R package stm for structural topic modeling. The structural topic model allows researchers to flexibly estimate a topic…”
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brms : An R Package for Bayesian Multilevel Models Using Stan by Bürkner, Paul-Christian

“…The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions…”
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ranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R by Wright, Marvin N., Ziegler, Andreas

“…We introduce the C++ application and R package ranger. The software is a fast implementation of random forests for high dimensional data. Ensembles of…”
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Bayesian Item Response Modeling in R with brms and Stan by Bürkner, Paul-Christian

“…Item response theory (IRT) is widely applied in the human sciences to model persons' responses on a set of items measuring one or more latent constructs. While…”
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JASP : Graphical Statistical Software for Common Statistical Designs by Love, Jonathon, Selker, Ravi, Marsman, Maarten, Jamil, Tahira, Dropmann, Damian, Verhagen, Josine, Ly, Alexander, Gronau, Quentin F., Smíra, Martin, Epskamp, Sacha, Matzke, Dora, Wild, Anneliese, Knight, Patrick, Rouder, Jeffrey N., Morey, Richard D., Wagenmakers, Eric-Jan

“…This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses…”
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Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R by Zeileis, Achim, Köll, Susanne, Graham, Nathaniel

“…Clustered covariances or clustered standard errors are very widely used to account for correlated or clustered data, especially in economics, political…”
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Fitting Linear Mixed-Effects Models Using lme4 by Bates, Douglas, Mächler, Martin, Bolker, Ben, Walker, Steve

“…Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function…”
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Least-Squares Means: The R Package lsmeans by Lenth, Russell V.

“…Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental data for summarizing the effects…”
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dbscan : Fast Density-Based Clustering with R by Hahsler, Michael, Piekenbrock, Matthew, Doran, Derek

“…This article describes the implementation and use of the R package dbscan, which provides complete and fast implementations of the popular density-based…”
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tmap : Thematic Maps in R by Tennekes, Martijn

“…Thematic maps show spatial distributions. The theme refers to the phenomena that is shown, which is often demographical, social, cultural, or economic. The…”
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Visualizing Fit and Lack of Fit in Complex Regression Models with Predictor Effect Plots and Partial Residuals by Fox, John, Weisberg, Sanford

“…Predictor effect displays, introduced in this article, visualize the response surface of complex regression models by averaging and conditioning, producing a…”
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Elastic Net Regularization Paths for All Generalized Linear Models by Tay, J Kenneth, Narasimhan, Balasubramanian, Hastie, Trevor

“…The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a…”
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ggtern : Ternary Diagrams Using ggplot2 by Hamilton, Nicholas E., Ferry, Michael

“…This paper presents the ggtern package for R, which has been developed for the rendering of ternary diagrams. Based on the well-established ggplot2 package…”
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cutpointr : Improved Estimation and Validation of Optimal Cutpoints in R by Thiele, Christian, Hirschfeld, Gerrit

“…"Optimal cutpoints" for binary classification tasks are often established by testing which cutpoint yields the best discrimination, for example the Youden…”
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Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm by Proust-Lima, Cécile, Philipps, Viviane, Liquet, Benoit

“…The R package lcmm provides a series of functions to estimate statistical models based on linear mixed model theory. It includes the estimation of mixed models…”
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fitdistrplus : An R Package for Fitting Distributions by Delignette-Muller, Marie Laure, Dutang, Christophe

“…The package fitdistrplus provides functions for fitting univariate distributions to different types of data (continuous censored or non-censored data and…”
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mediation : R Package for Causal Mediation Analysis by Tingley, Dustin, Yamamoto, Teppei, Hirose, Kentaro, Keele, Luke, Imai, Kosuke

“…In this paper, we describe the R package mediation for conducting causal mediation analysis in applied empirical research. In many scientific disciplines, the…”
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missMDA : A Package for Handling Missing Values in Multivariate Data Analysis by Josse, Julie, Husson, François

“…We present the R package missMDA which performs principal component methods on incomplete data sets, aiming to obtain scores, loadings and graphical…”
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runjags : An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS by Denwood, Matthew J.

“…The runjags package provides a set of interface functions to facilitate running Markov chain Monte Carlo models in JAGS from within R. Automated calculation of…”
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