Other packages > Find by keyword >

Explore topics

By keyword . Oldest R packages . Newest R packages . Top downloaded R packages . Datasets . Archived R packages . Top downloaded last week . Top downloaded yesterday

ctsem

Star Watch Copy Code

Continuous Time Structural Equation Modelling

View on CRAN: Click here

Download and install ctsem package within the R console
Install from CRAN:

 install.packages("ctsem")

Install from Github:

 library("remotes")

                        install_github("cran/ctsem")

Install by package version:

 library("remotes")

                        install_version("ctsem", "3.10.5")

Attach the package and use:

 library("ctsem")

Maintained by
Charles Driver
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2015-08-10

Latest Update: 2025-06-30

Description:

Hierarchical continuous (and discrete) time state space modelling, for linear and nonlinear systems measured by continuous variables, with limited support for binary data. The subject specific dynamic system is modelled as a stochastic differential equation (SDE) or difference equation, measurement models are typically multivariate normal factor models. Linear mixed effects SDE's estimated via maximum likelihood and optimization are the default. Nonlinearities, (state dependent parameters) and random effects on all parameters are possible, using either max likelihood / max a posteriori optimization (with optional importance sampling) or Stan's Hamiltonian Monte Carlo sampling. See for details. Priors may be used. For the conceptual overview of the hierarchical Bayesian linear SDE approach, see . Exogenous inputs may also be included, for an overview of such possibilities see . Stan based functions are not available on 32 bit Windows systems at present. contains some tutorial blog posts.

How to cite:

Charles Driver (2015). ctsem: Continuous Time Structural Equation Modelling. R package version 3.10.5, https://cran.r-project.org/web/packages/ctsem. Accessed 26 Aug. 2026.

Previous versions and publish date:

(2026-07-13 15:10), 1.1.1 (2015-08-10 18:31), 1.1.3 (2015-10-12 10:07), 1.1.5.1 (2016-02-17 09:00), 1.1.5.2 (2016-02-25 23:41), 1.1.5 (2015-12-16 16:09), 1.1.6 (2016-06-15 18:15), 2.0.0 (2016-11-19 14:30), 2.1.0 (2016-12-22 23:22), 2.1.1 (2017-01-07 15:58), 2.2.0 (2017-01-24 00:38), 2.3.0 (2017-03-07 14:46), 2.3.1 (2017-04-06 23:43), 2.4.0 (2017-05-17 21:49), 2.5.0 (2017-10-18 12:04), 2.6.4 (2018-06-10 16:02), 2.6.5 (2018-06-26 00:55), 2.7.4 (2018-11-09 18:20), 2.7.6 (2018-11-20 16:20), 2.8.2 (2019-02-03 17:13), 2.9.0 (2019-04-14 00:52), 2.9.6 (2019-05-29 15:40), 3.0.0 (2019-07-31 14:40), 3.0.1 (2019-08-23 15:00), 3.0.3 (2019-09-11 15:20), 3.0.4 (2019-09-13 00:40), 3.0.8 (2019-11-08 00:00), 3.0.9 (2019-12-18 16:30), 3.1.0 (2020-01-27 11:10), 3.1.1 (2020-02-10 23:30), 3.2.0 (2020-04-22 00:00), 3.2.1 (2020-04-26 03:00), 3.3.6 (2020-06-23 16:30), 3.3.8 (2020-07-16 17:20), 3.3.11 (2020-09-16 13:10), 3.4.1 (2020-12-18 14:00), 3.4.2 (2021-02-24 15:50), 3.4.3 (2021-04-27 15:50), 3.5.0 (2021-06-01 13:50), 3.5.2 (2021-06-17 06:40), 3.5.3 (2021-06-17 14:20), 3.5.4 (2021-07-23 18:40), 3.5.5 (2022-02-16 11:20), 3.6.0 (2022-03-10 12:20), 3.7.1 (2022-08-08 16:00), 3.7.2 (2022-11-06 06:10), 3.7.6 (2023-03-26 19:10), 3.8.1 (2023-09-05 10:40), 3.9.0 (2023-09-14 11:50), 3.9.1 (2023-10-30 15:20), 3.10.0 (2024-05-09 16:40), 3.10.1 (2024-08-19 16:40), 3.10.2 (2025-01-13 12:00), 3.10.3 (2025-06-21 13:00), 3.10.4 (2025-06-30 18:40), 3.10.5 (2026-01-20 07:10), 3.10.6 (2026-01-27 14:30), 3.11.0 (2026-06-30 13:30)

Other packages that cited ctsem R package

View ctsem citation profile

Other R packages that ctsem depends, imports, suggests or enhances

View ctsem dependency map

Complete documentation for ctsem

View documentation PDF

Functions, R codes and Examples using the ctsem R package

Some associated functions: AnomAuth . Oscillating . ctACF . ctACFresiduals . ctAddSamples . ctCheckFit . ctChisqTest . ctCollapse . ctDeintervalise . ctDensity . ctDiscretiseData . ctDocs . ctExample1 . ctExample1TIpred . ctExample2 . ctExample2level . ctExample3 . ctExample4 . ctExtract . ctFit . ctFitMultiModel . ctGenerate . ctIndplot . ctIntervalise . ctKalman . ctLOO . ctLongToWide . ctModel . ctModelHigherOrder . ctModelLatex . ctPlotArray . ctPoly . ctPostPredData . ctPostPredPlots . ctResiduals . ctStanContinuousPars . ctStanDiscretePars . ctStanDiscreteParsPlot . ctStanFit . ctStanFitUpdate . ctStanGenerate . ctStanGenerateFromFit . ctStanKalman . ctStanModel . ctStanParnames . ctStanPlotPost . ctStanPostPredict . ctStanSubjectPars . ctStanTIpredeffects . ctStanUpdModel . ctWideNames . ctWideToLong . ctsem-package . ctstantestdat . ctstantestfit . datastructure . inv_logit . isdiag . log1p_exp . longexample . plot.ctKalmanDF . plot.ctStanFit . plot.ctStanModel . sdpcor2cov . stanWplot . stan_checkdivergences . stan_reinitsf . stan_unconstrainsamples . standatact_specificsubjects . stanoptimis . summary.ctStanFit .
Some associated R codes: JKalman.R . covml.R . ctACF.R . ctCheckFit.R . ctCompare.R . ctDataHelp.R . ctDeintervalise.R . ctDiscretePars.R . ctDiscretiseData.R . ctExtractComplexMatrix.R . ctFitMultiModel.R . ctGenerate.R . ctIndplot.R . ctIntervalise.R . ctJacobian.R . ctKalman.R . ctLOO.R . ctLabel.R . ctModel.R . ctModelHigherOrder.R . ctModelLatex.R . ctPlotArray.R . ctStanContinuousPars.R . ctStanData.R . ctStanFit.R . ctStanGenerate.R . ctStanGenerateFromFit.R . ctStanKalman.R . ctStanModel.R . ctStanModelWriter.R . ctStanParMatrices.R . ctStanPlotPost.R . ctStanPostPredict.R . ctStanProfileCI.R . ctStanTIpredeffects.R . ctSummarise.R . ctTIpredAuto.R . ctTransforms.R . ctWideToLong.R . ctdataupdate.R . ctsem-package.R . ctsemUtils.R . ctsmupdate.R . databasedTIpreds.R . extract.ctStanFit.R . isdiag.R . listOfMatrices.R . llsurface.R . modelchecking.R . plot.ctStanFit.R . plot.ctStanModel.R . plothelpers.R . priorcheck.R . sdpcor2cov.R . sgd.R . stanWplot.R . stan_checkdivergences.R . stan_confidenceRegion.R . stan_postcalc.R . stan_unconstrainsamples.R . stanmodels.R . stanoptimis.R . summary.ctStanFit.R . tformshapes.R . zzz.R . Full ctsem package functions and examples

Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ncodeR

Techniques for Automated Classifiers

A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency

Maintainer: Cody L Marquart (view profile)

nextGenShinyApps

Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools

Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency

Maintainer: Obinna Obianom (view profile)

clinUtils

General Utility Functions for Analysis of Clinical Data

Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency

Maintainer: Laure Cougnaud (view profile)

leafgl

High-Performance 'WebGl' Rendering for Package 'leaflet'

Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency

Maintainer: Tim Appelhans (view profile)

PCADSC

Tools for Principal Component Analysis-Based Data Structure Comparisons

A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency

Maintainer: Anne H. Petersen (view profile)

RCytoGPS

Using Cytogenetics Data in R

Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency

Maintainer: Kevin R. Coombes (view profile)