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ORCIDJournal of Statistical Software, Volume 101
Volume 101, Number 1, 2022
- Ozan Cinar
, Wolfgang Viechtbauer:
The poolr Package for Combining Independent and Dependent p Values.
Volume 101, Number 2, 2022
- Matias D. Cattaneo, Michael Jansson, Xinwei Ma:
lpdensity: Local Polynomial Density Estimation and Inference.
Volume 101, Number 3, 2022
- David P. Hofmeyr:
Fast Kernel Smoothing in R with Applications to Projection Pursuit.
Volume 101, Number 4, 2022
- Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R.
Volume 101, Number 5, 2022
- Jun Woo, Jinhua Wang:
bbl: Boltzmann Bayes Learner for High-Dimensional Inference with Discrete Predictors in R.
Volume 101, Number 6, 2022
- Stefan Lenz, Maren Hackenberg, Harald Binder:
The JuliaConnectoR: A Functionally-Oriented Interface for Integrating Julia in R.
Volume 101, Number 7, 2022
- Dewey Dunnington, Nell Libera, Joshua Kurek, Ian Spooner, Graham A. Gagnon:
tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2.
Volume 101, Number 8, 2022
- Victor Freguglia, Nancy Lopes Garcia:
Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d.
Volume 101, Number 9, 2022
- Jie Zhou, Jiajia Zhang, Wenbin Lu:
TransModel: An R Package for Linear Transformation Model with Censored Data.
Volume 101, Number 10, 2022
- Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque:
Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data.
Volume 101, Number 11, 2022
- Ziwen An, Leah F. South, Christopher C. Drovandi:
BSL: An R Package for Efficient Parameter Estimation for Simulation-Based Models via Bayesian Synthetic Likelihood.
Volume 101, Number 12, 2022
- Pierre Barbillon, Julien Chiquet, Timothée Tabouy:
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model.
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