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LPsmooth  

LP Smoothed Inference and Graphics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("LPsmooth", "0.1.3")



Attach the package and use:
library("LPsmooth")
Maintained by
Xiangyu Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-29
Latest Update: 2020-11-24
Description:
Classical tests of goodness-of-fit aim to validate the conformity of a postulated model to the data under study. In their standard formulation, however, they do not allow exploring how the hypothesized model deviates from the truth nor do they provide any insight into how the rejected model could be improved to better fit the data. To overcome these shortcomings, we establish a comprehensive framework for goodness-of-fit which naturally integrates modeling, estimation, inference and graphics. In this package, the deviance tests and comparison density plots are performed to conduct the LP smoothed inference, where the letter L denotes nonparametric methods based on quantiles and P stands for polynomials. Simulations methods are used to perform variance estimation, inference and post-selection adjustments. Algeri S. and Zhang X. (2020) .
How to cite:
Xiangyu Zhang (2020). LPsmooth: LP Smoothed Inference and Graphics. R package version 0.1.3, https://cran.r-project.org/web/packages/LPsmooth
Previous versions and publish date:
0.1.0 (2020-06-29 17:30), 0.1.1 (2020-08-10 10:30)
Other packages that cited LPsmooth R package
View LPsmooth citation profile
Other R packages that LPsmooth depends, imports, suggests or enhances
Functions, R codes and Examples using the LPsmooth R package
Some associated functions: CDplot . d_hat . dmixnegbinom . dmixtruncnorm . find_h_cont . find_h_disc . rmixnegbinom . rmixtruncnorm . 
Some associated R codes: functions_only.R .  Full LPsmooth package functions and examples
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