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assessor  

Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("assessor", "1.1.0")



Attach the package and use:
library("assessor")
Maintained by
Jeonghwan Lee
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-01-28
Latest Update: 2024-01-28
Description:
Provides assessment tools for regression models with discrete and semicontinuous outcomes proposed in Yang (2023) . It calculates the double probability integral transform (DPIT) residuals, constructs QQ plots of residuals and the ordered curve for assessing mean structures.
How to cite:
Jeonghwan Lee (2024). assessor: Assessment Tools for Regression Models with Discrete and Semicontinuous Outcomes. R package version 1.1.0, https://cran.r-project.org/web/packages/assessor. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.0 (2024-01-28 14:10)
Other packages that cited assessor R package
View assessor citation profile
Other R packages that assessor depends, imports, suggests or enhances
Complete documentation for assessor
Functions, R codes and Examples using the assessor R package
Some associated functions: ord_curve . qqresid . resid_2pm . resid_disc . resid_semiconti . resid_zeroinfl . 
Some associated R codes: 2pm.R . Ordered_curve.R . binom.R . discrete_resid.R . logistic.R . nb.R . pois.R . qqplot.R . semiconti.R . zero_resid.R . znb.R . zpois.R .  Full assessor package functions and examples
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