Description
The 'CoTiMA' package performs meta-analyses of correlation matrices of repeatedly measured variables taken from studies that used different time intervals. Different time intervals between measurement occasions impose problems for meta-analyses because the effects (e.g. cross-lagged effects) cannot be simply aggregated, for example, by means of common fixed or random effects analysis. However, continuous time math, which is applied in 'CoTiMA', can be used to extrapolate or intrapolate the results from all studies to any desired time lag. By this, effects obtained in studies that used different time intervals can be meta-analyzed. 'CoTiMA' fits models to empirical data using the structural equation model (SEM) package 'ctsem', the effects specified in a SEM are related to parameters that are not directly included in the model (i.e., continuous time parameters; together, they represent the continuous time structural equation model, CTSEM). Statistical model comparisons and significance tests are then performed on the continuous time parameter estimates. 'CoTiMA' also allows analysis of publication bias (Egger's test, PET-PEESE estimates, zcurve analysis etc.) and analysis of statistical power (post hoc power, required sample sizes). See Dormann, C., Guthier, C., & Cortina, J. M. (2019) <doi:10.1177/1094428119847277>. and Guthier, C., Dormann, C., & Voelkle, M. C. (2020) <doi:10.1037/bul0000304>.
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593
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5576th
1.9K
Last 90 days
7.5K
Last year
Trend: -11.2% (30d vs prior 30d)
16
Last 30 days
75
Last 90 days
232
Last year
Trend: -23.8% (30d vs prior 30d)
3
Last 7 days
3
Last 30 days
1
All-time
autoCRAN-only: this name is served only by autoCRAN, so the count is exact.
CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | ERROR |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | ERROR |
| r-release-windows-x86_64 | OK |
Check details (2 non-OK)
package dependencies
Package required but not available: ‘ctsem’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
package dependencies
Package required but not available: ‘ctsem’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
Additional Issues
Check History
ERROR 9 OK · 1 NOTE · 0 WARNING · 4 ERROR · 0 FAILURE Mar 10, 2026
package dependencies
Package required but not available: ‘ctsem’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
package dependencies
Package required but not available: ‘ctsem’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
installed package size
installed size is 8.0Mb
sub-directories of 1Mb or more:
data 5.4Mb
guide 1.6Mb
package dependencies
Package required but not available: ‘ctsem’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
package dependencies
Packages required but not available: 'OpenMx', 'MBESS' See section 'The DESCRIPTION file' in the 'Writing R Extensions' manual.
Code
Structure
Lines of code
21,643
Files
328
Compiled share
0%
Has compiled src
No
Language breakdown
API
Exported functions
26
Internal functions
10
Recent export changes
Testing & CI
Has tests
No
Test-to-code ratio
0.00
testthat edition
–
CI present
No
CI type
[]
PR gated
No
Docs
Return-value doc rate
92.3%
\dontrun example ratio
50%
Roxygen coverage
100%
Has pkgdown
No
NEWS present
No
Health & Security signals
Informational signals; not verdicts.
on.exit coverage
0%
Unsafe pattern score
51
Dep constraint coverage
88.9%
Secret pattern count
0
Bundled 3rd-party code
2 items
Portability & License
Min R version
3.5.0
System requirements
–
C++ standard
–
License
GPL-3
License flags
SPDX valid, OSI approved
History
Versions
11
First release
2021-03-11
Latest release
2025-08-22
Avg cadence
82 days
Cold removal rate
100%
Dep drift
15
LOC over versions
Per-file churn detail lives in the source pipeline: https://github.com/r-observatory/cran-code-metrics.