logspline: Routines for Logspline Density Estimation

Canonical link: https://scholar.rpkg.net/pkg/logspline

Charles Kooperberg • Cleve Moler • Jack Dongarra • View description and downloads View dependencies GitHub project

1998 Published

2.1.21 Version

0 Citations

3 Authors

Referenced by ⇅	Year
MIRES: Measurement Invariance Assessment Using Random Effects Models and Shrinkage (Version 0.1.0)	2021
TeachingDemos: Demonstrations for Teaching and Learning (Version 2.13)	2005
TreeBUGS: Hierarchical Multinomial Processing Tree Modeling (Version 1.5.0)	2016
bayestestR: Understand and Describe Bayesian Models and Posterior Distributions (Version 0.13.2)	2019
bmscstan: Bayesian Multilevel Single Case Models using 'Stan' (Version 1.2.1.0)	2020
crs: Categorical Regression Splines (Version 0.15-37)	2011
emmeans: Estimated Marginal Means, aka Least-Squares Means (Version 1.10.1)	2017
icensBKL: Accompanion to the Book on Interval Censoring by Bogaerts, Komarek, and Lesaffre (Version 1.5)	2017
lg: Locally Gaussian Distributions: Estimation and Methods (Version 0.4.1)	2017
metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis (Version 0.6.9)	2017
modelbased: Estimation of Model-Based Predictions, Contrasts and Means (Version 0.8.7)	2020
neatStats: Neat and Painless Statistical Reporting (Version 1.13.3)	2020
np: Nonparametric Kernel Smoothing Methods for Mixed Data Types (Version 0.60-17)	2006
parameters: Processing of Model Parameters (Version 0.21.6)	2019
quantreg: Quantile Regression (Version 5.97)	1999
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.8.3)	2019
semiArtificial: Generator of Semi-Artificial Data (Version 2.4.1)	2014

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.