scout.yahoo.com
Yahoo Scout
Yahoo Scout
plmm是谁
Searching…
Web results
pbreheny.github.io
Fit a linear mixed model via penalized maximum likelihood. — plmm
Optional: a logical value indicating whether the fitted model should be returned as a plmm object in the current (assumed interactive) session. Defaults to TRUE.
www.abbreviations.com
What does PLMM stand for? - Abbreviations.com
Looking for the definition of PLMM? Find out what is the full meaning of PLMM on Abbreviations.com! 'Pastoral Leadership and Management for Mission' is one option -- get in to view more @ The Web's largest and most au...
www.rdocumentation.org
plmmr package - RDocumentation
Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental he...
arxiv.org
plmmr: an R package to fit penalized linear mixed
Feb 4, 2025 · en plmmr and many other software packages that implement LMMs for hi. h-dimensional da.
cran.r-project.org
plmmr: Penalized Linear Mixed Models for Correlated Data
4.2.3 Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmen...
rdrr.io
plmm: Fit a linear mixed model via penalized maximum likelihood....
Jan 22, 2026 · Note: plmm () does not check to see if a matrix is diagonal. If you want to use a diagonal K matrix, you must set diag_K = TRUE. Optional argument to input a specific eta term rather than estimate it fr...
academic.oup.com
plmmr: an R package to fit penalized linear mixed models for...
Jan 31, 2026 · We present a new open-source package, plmmr, to implement p enalized l inear m ixed m odels in R. This R package estimates correlation among observations in high-dimensional data and uses those estimate...
github.com
GitHub - pbreheny/plmmr: Fit penalized linear mixed models to...
The plmmr (p enalized l inear m ixed m odels in R) package contains functions that fit penalized linear mixed models to correct for unobserved confounding effects. Three small datasets ship with plmmr, and tutorials w...
pbreheny.github.io
Penalized Linear Mixed Models for Correlated Data • plmmr
Fits penalized linear mixed models that correct for unobserved confounding factors. plmmr infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental hete...
www.rdocumentation.org
plmm function - RDocumentation
an optional data frame containing the variables in the model. If relevant variables are not found in data, the variables are taken from the environment plmm was called from.