logspline: Routines for Logspline Density Estimation

Canonical link: https://rscholar.com/pkg/logspline

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

1998 Published

2.1.22 Version

0 Citations

3 Authors

Referenced by ⇅	Year
np: Nonparametric Kernel Smoothing Methods for Mixed Data Types (Version 0.60-18)	2006
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 0.15.0)	2019
bmscstan: Bayesian Multilevel Single Case Models using 'Stan' (Version 1.2.1.0)	2020
crs: Categorical Regression Splines (Version 0.15-38)	2011
emmeans: Estimated Marginal Means, aka Least-Squares Means (Version 1.10.6)	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 0.8.9)	2020
neatStats: Neat and Painless Statistical Reporting (Version 1.13.3)	2020
parameters: Processing of Model Parameters (Version 0.24.0)	2019
quantreg: Quantile Regression (Version 5.99.1)	1999
see: Model Visualisation Toolbox for 'easystats' and 'ggplot2' (Version 0.9.0)	2019
semiArtificial: Generator of Semi-Artificial Data (Version 2.4.1)	2014

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