Other packages > Find by keyword >

logspline  

Routines for Logspline Density Estimation
View on CRAN: Click here


Download and install logspline package within the R console
Install from CRAN:
install.packages("logspline")

Install from Github:
library("remotes")
install_github("cran/logspline")

Install by package version:
library("remotes")
install_version("logspline", "2.1.22")



Attach the package and use:
library("logspline")
Maintained by
Charles Kooperberg
[Scholar Profile | Author Map]
First Published: 1998-11-25
Latest Update: 2023-10-26
Description:
Contains routines for logspline density estimation. The function oldlogspline() uses the same algorithm as the logspline package version 1.0.x; i.e. the Kooperberg and Stone (1992) algorithm (with an improved interface). The recommended routine logspline() uses an algorithm from Stone et al (1997) .
How to cite:
Charles Kooperberg (1998). logspline: Routines for Logspline Density Estimation. R package version 2.1.22, https://cran.r-project.org/web/packages/logspline. Accessed 05 Apr. 2025.
Previous versions and publish date:
1.0-2 (1998-11-25 12:46), 1.0-3 (2001-05-13 19:10), 1.0-4 (2001-12-08 12:12), 1.0-5 (2002-04-28 09:58), 1.0-6 (2002-07-03 17:18), 1.0-7 (2002-08-28 09:49), 1.0-8 (2003-11-05 19:23), 2.0.0 (2004-02-04 19:18), 2.0.1 (2004-03-02 18:19), 2.0.2 (2005-04-19 09:20), 2.0.3 (2006-09-22 08:40), 2.0.4 (2007-09-28 21:01), 2.1.0 (2008-11-17 20:44), 2.1.1 (2008-11-19 12:45), 2.1.2 (2009-01-27 15:46), 2.1.3 (2009-08-21 07:15), 2.1.4 (2012-08-16 18:17), 2.1.5 (2013-04-24 18:10), 2.1.8 (2015-07-03 02:00), 2.1.9 (2016-02-03 01:15), 2.1.10 (2018-06-02 06:58), 2.1.11 (2018-06-14 21:44), 2.1.12 (2019-02-05 23:10), 2.1.13 (2019-06-14 00:30), 2.1.14 (2019-10-04 21:10), 2.1.15 (2019-11-08 07:20), 2.1.16 (2020-05-08 20:20), 2.1.17 (2022-04-25 09:30), 2.1.19 (2022-11-22 21:50), 2.1.20 (2023-06-29 16:00), 2.1.21 (2023-10-26 22:10)
Other packages that cited logspline R package
View logspline citation profile
Other R packages that logspline depends, imports, suggests or enhances
Complete documentation for logspline
Functions, R codes and Examples using the logspline R package
Some associated functions: dlogspline . doldlogspline . logspline-internal . logspline . oldlogspline . oldlogspline.to.logspline . plot.logspline . plot.oldlogspline . summary.logspline . summary.oldlogspline . unstrip . 
Some associated R codes: logspline.R .  Full logspline package functions and examples
Downloads during the last 30 days
03/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/03Downloads for logspline100150200250300350400450500TrendBars

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
deepdive  
Deep Learning for General Purpose
Aims to provide simple intuitive functions to create quick prototypes of artificial neural network o ...
Download / Learn more Package Citations See dependency  
TrendInTrend  
Odds Ratio Estimation and Power Calculation for the Trend in Trend Model
Estimation of causal odds ratio and power calculation given trends in exposure prevalenceand outcome ...
Download / Learn more Package Citations See dependency  
whitestrap  
White Test and Bootstrapped White Test for Heteroskedasticity
Formal implementation of White test of heteroskedasticity and a bootstrapped version of it, develope ...
Download / Learn more Package Citations See dependency  
gllvm  
Generalized Linear Latent Variable Models
Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation i ...
Download / Learn more Package Citations See dependency  
leapp  
Latent Effect Adjustment After Primary Projection
These functions take a gene expression value matrix, a primary covariate vector, an additional know ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA