Package: crosslag 0.1.0

crosslag: Perform Linear or Nonlinear Cross Lag Analysis

Linear or nonlinear cross-lagged panel model can be built from input data. Users can choose the appropriate method from three methods for constructing nonlinear cross lagged models. These three methods include polynomial regression, generalized additive model and generalized linear mixed model.In addition, a function for determining linear relationships is provided. Relevant knowledge of cross lagged models can be learned through the paper by Fredrik Falkenström (2024) <doi:10.1016/j.cpr.2024.102435> and the paper by A Gasparrini (2010) <doi:10.1002/sim.3940>.

Authors:Yaxin Li [aut, cre]

crosslag_0.1.0.tar.gz
crosslag_0.1.0.zip(r-4.7-any)crosslag_0.1.0.zip(r-4.6-any)crosslag_0.1.0.zip(r-4.5-any)
crosslag_0.1.0.tgz(r-4.6-any)crosslag_0.1.0.tgz(r-4.5-any)
crosslag_0.1.0.tar.gz(r-4.7-any)crosslag_0.1.0.tar.gz(r-4.6-any)
crosslag_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
crosslag/json (API)

# Install 'crosslag' in R:
install.packages('crosslag', repos = c('https://curiousxx.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • test_data1 - Data for the first time point used for testing
  • test_data2 - Data for the second time point used for testing

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 539 downloads 9 exports 118 dependencies

Last updated from:8df81ea84e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK198
source / vignettesOK237
linux-release-x86_64OK196
macos-release-arm64OK221
macos-oldrel-arm64OK187
windows-develOK170
windows-releaseOK131
windows-oldrelOK160
wasm-releaseOK135

Exports:adjust_targetclpm_gam_cclpm_gam_rclpm_gamm4_cclpm_gamm4_rclpm_poly_cclpm_poly_rcrlog_linejudge_line

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacheckmatecliclustercodetoolscolorspacecorrplotcowplotcpp11data.tableDerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforecastforeignFormulafracdifffsgamm4genericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelavaanlifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmimeminqamnormtmodelrmultcompmvtnormnlmenloptrnnetnumDerivpbivnormpbkrtestpillarpkgconfigpolsplinepolynompurrrquadprogquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrmarkdownrmsrpartrstatixrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivalTH.datatibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitewithrxfunyamlzoo