Package: tensorsem 2.1.0

tensorsem: Estimate structural equation models using computation graphs

Use lavaan code to create structural equation models, use torch to estimate them. This package provides the interface between lavaan and torch.

Authors:Erik-Jan van Kesteren

tensorsem_2.1.0.tar.gz
tensorsem_2.1.0.zip(r-4.7)tensorsem_2.1.0.zip(r-4.6)tensorsem_2.1.0.zip(r-4.5)
tensorsem_2.1.0.tgz(r-4.6-any)tensorsem_2.1.0.tgz(r-4.5-any)
tensorsem_2.1.0.tar.gz(r-4.7-any)tensorsem_2.1.0.tar.gz(r-4.6-any)
tensorsem_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tensorsem/json (API)

# Install 'tensorsem' in R:
install.packages('tensorsem', repos = c('https://vankesteren.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vankesteren/tensorsem/issues

On CRAN:

Conda:

computation-graphlavaansemtorch

3.75 score 56 stars 9 scripts 7 exports 30 dependencies

Last updated from:a07ef48754. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK158
linux-release-x86_64OK116
macos-release-arm64OK111
macos-oldrel-arm64OK105
windows-develOK93
windows-releaseOK65
windows-oldrelOK69
wasm-releaseOK108

Exports:df_to_tensorlav_mod_to_torch_optsmvn_negloglikpartable_from_torchsyntax_to_torch_optstorch_semtorch_vech

Dependencies:bitbit64callrclicorodescfarvergluejsonlitelabelinglavaanlifecyclemagrittrMASSmnormtnumDerivotelpbivnormprocessxpsquadprogR6RColorBrewerRcpprlangsafetensorsscalestorchviridisLitewithr