Package: fastFMM 0.3.0

Erjia Cui

fastFMM: Fast Functional Mixed Models using Fast Univariate Inference

Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2023) <doi:10.1101/2023.11.06.565896>) for fitting functional mixed models.

Authors:Erjia Cui [aut, cre], Gabriel Loewinger [aut], Al Xin [ctb]

fastFMM_0.3.0.tar.gz
fastFMM_0.3.0.zip(r-4.5)fastFMM_0.3.0.zip(r-4.4)fastFMM_0.3.0.zip(r-4.3)
fastFMM_0.3.0.tgz(r-4.4-any)fastFMM_0.3.0.tgz(r-4.3-any)
fastFMM_0.3.0.tar.gz(r-4.5-noble)fastFMM_0.3.0.tar.gz(r-4.4-noble)
fastFMM_0.3.0.tgz(r-4.4-emscripten)fastFMM_0.3.0.tgz(r-4.3-emscripten)
fastFMM.pdf |fastFMM.html✨
fastFMM/json (API)
NEWS

# Install 'fastFMM' in R:

install.packages('fastFMM', repos = c('https://gloewing.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gloewing/fastfmm/issues

On CRAN:

3 exports 5 stars 1.92 score 97 dependencies 10 scripts 284 downloads

Last updated 7 days agofrom:610747fca0. Checks:OK: 1 WARNING: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 11 2024
R-4.5-win	WARNING	Sep 11 2024
R-4.5-linux	WARNING	Sep 11 2024
R-4.4-win	WARNING	Sep 11 2024
R-4.4-mac	WARNING	Sep 11 2024
R-4.3-win	WARNING	Sep 11 2024
R-4.3-mac	WARNING	Sep 11 2024

Exports:fui fui_conc plot_fui

Dependencies:abind ash bitops boot cAIC4 cli cluster colorspace cpp11 crayon deSolve diagonals distributional dplyr fansi farver fda fds FNN forcats gamm4 generics ggdist ggplot2 ggrepel glue gridExtra grpreg gtable hdrcde HLMdiag hms isoband janitor kernlab KernSmooth ks labeling lattice lifecycle lme4 lmeresampler locfit lsei lubridate magic magrittr MASS Matrix mclust mgcv minqa multicool munsell mvtnorm nlme nlmeU nloptr numDeriv pbs pcaPP pillar pkgconfig plyr pracma prettyunits progress purrr quadprog R6 rainbow RColorBrewer Rcpp RcppArmadillo RcppEigen RcppGSL RcppParallel RcppZiggurat RCurl refund reshape2 Rfast rlang RLRsim scales snakecase statmod stringi stringr tibble tidyr tidyselect timechange utf8 vctrs viridisLite withr

fastFMM Vignette: Fast Functional Mixed Models using Fast Univariate Inference

Gabriel Loewinger, Erjia Cui

Rendered fromfastFMM-vignette.Rmdusingknitr::rmarkdownon Sep 11 2024.

Last update: 2023-11-14
Started: 2023-06-09

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create crossterms from two matrices	all_crossterms
Estimate non-negative diagonal terms on G matrix	cov.nnls
Fast Univariate Inference for Longitudinal Functional Models	fui
Concurrent FUI	fui_conc
Estimate covariance of random components G(s1, s2)	G_estimate
Special case of estimating covariance of random components G(s1, s2)	G_estimate_randint
Creates the design matrix that allows for estimation of G	G_generate
Default FUI plotting	plot_fui
pspline.setting.R from refund	pspline_setting
select_knots.R from refund package	select_knots
Fit a univariate mixed model	unimm
Fit a univariate mixed model	unimm_conc

Usage by other packages (reverse dependencies)