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QoLMiss
View on CRAN: Click
here
Download and install QoLMiss package within the R console
Install from CRAN:
install.packages("QoLMiss")
Install from Github:
library("remotes")
install_github("cran/QoLMiss") Install by package version:
library("remotes")
install_version("QoLMiss", "0.1.0") Attach the package and use:
library("QoLMiss")
Maintained by
Atanu Bhattacharjee
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-07
Latest Update: 2022-01-07
Description:
There are three functions: qol, miss_qol and miss_patient takes input of the data set containing the answers of QOL questionnaire. It will compute the three types of domain based scale scores: Global, Functional, and Symptoms. In case of missing data, the miss_qol and miss_patient functions will make the required changes and then calculate the domain-wise scale scores. Finally, provide an output replacing the question columns with the domain-based scale scores in the original data set.
How to cite:
Atanu Bhattacharjee (2022). QoLMiss: Scales Score Calculation from Quality of Life Data. R package version 0.1.0, https://cran.r-project.org/web/packages/QoLMiss. Accessed 25 Jun. 2026.
Previous versions and publish date:
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Complete documentation for QoLMiss
Functions, R codes and Examples using
the QoLMiss R package
Some associated functions: brc_df . brc_df_miss . brc_qol . c30_df . c30_df_miss . hnc_df . hnc_df_miss . hnc_qol . lc_df . lc_df_miss . lc_qol . ovc_df . ovc_df_miss . ovc_qol . patient_miss . qol . qol_miss . surv_br23 . surv_c30 . surv_c30_miss . surv_hn35 . surv_lc13 . surv_ov28 . surv_thy34 . thyc_df . thyc_df_miss . thyc_qol .
Some associated R codes: brc_df.R . brc_df_miss.R . brc_qol.R . c30_df.R . c30_df_miss.R . hnc_df.R . hnc_df_miss.R . hnc_qol.R . lc_df.R . lc_df_miss.R . lc_qol.R . ovc_df.R . ovc_df_miss.R . ovc_qol.R . patient_miss.R . qol.R . qol_miss.R . surv_br23.R . surv_c30.R . surv_c30_miss.R . surv_hn35.R . surv_lc13.R . surv_ov28.R . surv_thy34.R . thyc_df.R . thyc_df_miss.R . thyc_qol.R . Full QoLMiss package functions and examples
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