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predictmeans

1.1.1Package record

Predicted Means for Linear and Semiparametric Models

1packages depend
8.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Providing functions to diagnose and make inferences from various linear models, such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', 'lmer', 'glmmTMB' and 'semireg'. Inferences include predicted means and standard errors, contrasts, multiple comparisons, permutation tests, adjusted R-square and graphs.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
24includes a package overview page
Examples that run
68%13 run in a plain check · 6 hold no code
Exported functions with examples
95%
Documented parameters
99%
Return-value docs
75%
Help pages citing references
46%

Downloads

8.9K
CRAN downloads in the past year
Rank #4,539 · ~24/day · ~740/mo
Daily download trend is not available in this view yet.
61730 days
1.8K90 days
8.9K1 year
Compare downloads with other packages →
Also on374 r2u3 autocran1.3K conda_forge45 c2d4u

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing predictmeans adds 104 packages (56 with compiled code, 104 MB of source tarballs). Heaviest: stringi 11 MB, HRW 7.1 MB, ggplot2 6.0 MB.

Depends (5)
R >= 3.5.0glmmTMBlme4nlmelmerTest
Imports (19)
carggplot2graphicsgrDevicesHRWlmeInfolmeSplinesMatrixMASSmethodsnumDerivparallelpbkrtestplotlyplyrreformulassplines2statsutils
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
1indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.97 (2014)
Contributor
Contributor
Releases (12)

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
  • 1.1.1Latest
    record
    2024-11-29 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0
    record
    2024-02-29 · diff ↗ ·
    added 3 exports
    R2_glmm, semireg_tmb, se_ranef
  • 1.0.9
    record
    2023-10-20 · diff ↗ ·
    added 1 export
    ci_mcp
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.8
    record
    2022-11-26 · diff ↗ ·
    removed 1 export
    anovalmer
    added 4 exports
    df_term, semipred, semireg, smZ
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.6
    record
    2021-06-09 · diff ↗ ·
    removed 1 export
    varcomp.lmer
    added 1 export
    varcomp
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.4
    record
    2020-04-15 · diff ↗
  • 1.0.2
    record
    2020-02-12 · diff ↗ ·
    added 2 exports
    permmodels, varcomp.lmer
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.1
    record
    2018-08-23 · diff ↗
Show 9 earlier eventsHide 9 earlier events
  • 1.0
    record
    2018-08-07 · diff ↗ ·
    removed 1 export
    permmodels
    added 3 exports
    anovalmer, permanova.lmer, permlmer
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 0.99
    record
    2014-09-22 · diff ↗
  • 0.98
    record
    2014-09-03 · diff ↗
  • 0.97
    record
    2014-07-03
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-07-03
Total releases
12 / 12 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
1.9 KB / 3 files
Download size
76 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("predictmeans")
Luo, D., Ganesh, S., & Koolaard, J. (2024). predictmeans: Predicted Means for Linear and Semiparametric Models (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.predictmeans

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 predictmeans version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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