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psica

1.0.2Package record

Decision Tree Analysis for Probabilistic Subgroup Identification with Multiple Treatments

0packages depend
2.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

In the situation when multiple alternative treatments or interventions available, different population groups may respond differently to different treatments. This package implements a method that discovers the population subgroups in which a certain treatment has a better effect than the other alternative treatments. This is done by first estimating the treatment effect for a given treatment and its uncertainty by computing random forests, and the resulting model is summarized by a decision tree in which the probabilities that the given treatment is best for a given subgroup is shown in the corresponding terminal node of the tree.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Oleg Sysoev <Oleg.Sysoev@liu.se>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Oleg",
                      family = "Sysoev",
                      role = c("aut", "cre"),
                      email = "oleg.sysoev@liu.se"),
               person(given = "Krzysztof",
                      family = "Bartoszek",
                      role = "aut"),
               person(given = c("Katarina", "Ekholm"),
                      family = "Selling",
                      role = "aut"),
               person(given = "Lotta",
                      family = "Ekstrom",
                      role = "aut"))
as necessary.

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-05-11
  • WARNING11 OK, 1 NOTE, 1 WARNING2026-05-10
  • NOTE9 OK, 5 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
38%
Return-value docs
100%
Help pages citing references
17% with a bibliography file

Downloads

2.9K
CRAN downloads in the past year
Rank #15,706 · ~8/day · ~238/mo
Daily download trend is not available in this view yet.
27330 days
78490 days
2.9K1 year
Compare downloads with other packages →
Also on87 r2u5 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing psica adds 19 packages (11 with compiled code, 20 MB of source tarballs). Heaviest: TH.data 8.2 MB, partykit 2.1 MB, sandwich 1.4 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (4)

Maintainer since 1.0.0 (2018)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.2Latest
    record
    2020-02-11 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.1
    record
    2018-11-29 · diff ↗
  • 1.0.0
    record
    2018-11-19
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-11-19
Total releases
3 / 8 yrs
License
GPL (>= 2) OSI
Download size
17 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("psica")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for psica version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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