Other packages > Find by keyword >

ctsem  

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 25 Jun. 2026.
Previous versions and publish date:
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)
Other packages that cited ctsem R package
View ctsem citation profile
Other R packages that ctsem depends, imports, suggests or enhances
Complete documentation for ctsem
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

airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA