QoLMiss

0.1.0

Scales Score Calculation from Quality of Life Data

0packages depend

2.1Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Atanu BhattacharjeeFirst published 2022-01-071 releasesCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("QoLMiss", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-qolmiss

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-QoLMiss

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-QoLMiss

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 2.3 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 52%

Downloads

2.1K

CRAN downloads in the past year

Rank #20,928 · ~6/day · ~179/mo

Releases R versions

Daily download trend is not available in this view yet.

17130 days

57990 days

2.1K1 year

Compare downloads with other packages →

Also on96 r2u18 autocran

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (4)

survivalutilsdplyr missMethods

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Code Composition

R 1,994 (55%)Rd 1,632 (45%)

Code characteristics

Cyclomatic complexity: 2.5 median / 9 max

Test coverage

Line coverage

–

Expression

–

Tests / Examples

–

Functions

14 14 exported

Complexity

4.4 avg / 9 max

Call network

14 nodes / 7 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 13

Name	Class	Rows × Cols	Also ships in
brc_df	data.frame	100 × 27	–
brc_df_miss	data.frame	100 × 27	–
c30_df	data.frame	100 × 34	–
c30_df_miss	data.frame	100 × 34	–
hnc_df	data.frame	100 × 39	–
hnc_df_miss	data.frame	100 × 39	–
lc_df	data.frame	100 × 16	–
lc_df_miss	data.frame	100 × 16	–
ovc_df	data.frame	100 × 32	–
ovc_df_miss	data.frame	100 × 32	–
patient_miss	data.frame	100 × 34	–
thyc_df	data.frame	100 × 38	–
thyc_df_miss	data.frame	100 × 38	–

People & History

People (2)

Maintainer (1)

Atanu Bhattacharjee

Author, Maintainer, Contributor

Authors (2)

Atanu Bhattacharjee

Author, Maintainer, Contributor

Ankita Pal

Author, Contributor

Contributors (2)

Atanu Bhattacharjee

Author, Maintainer, Contributor

Ankita Pal

Author, Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.0Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2022-01-07
Total releases: 1 / 4 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 23 KB / 13 files
Download size: 42 KB
Installed size: not tracked yet
With dependencies: not tracked yet

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