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Jenni Niku
Jenni Niku
Researcher
Verified email at jyu.fi
Title
Cited by
Cited by
Year
mvabund: Statistical methods for analysing multivariate abundance data
Y Wang, U Naumann, D Eddelbuettel, J Wilshire, D Warton, J Byrnes, ...
R package version 4 (3), 2020
2982020
gllvm: Fast analysis of multivariate abundance data with generalized linear latent variable models in r
J Niku, FKC Hui, S Taskinen, DI Warton
Methods in Ecology and Evolution 10 (12), 2173-2182, 2019
1292019
Generalized linear latent variable models for multivariate count and biomass data in ecology
J Niku, DI Warton, FKC Hui, S Taskinen
Journal of Agricultural, Biological and Environmental Statistics 22, 498-522, 2017
802017
Efficient estimation of generalized linear latent variable models
J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton
PloS one 14 (5), e0216129, 2019
592019
Gllvm: Generalized linear latent variable models
J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton, ...
R package version 1 (3), 2020
242020
Analyzing environmental‐trait interactions in ecological communities with fourth‐corner latent variable models
J Niku, FKC Hui, S Taskinen, DI Warton
Environmetrics 32 (6), e2683, 2021
142021
Mvabund: statistical methods for analysing multivariate abundance data. Version 4.1. 6
Y Wang, U Naumann, D Eddelbuettel, J Wilshire, D Warton, J Byrnes, ...
112020
gllvm: generalized linear latent variable models. R package version 1.1. 7; 2019
J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton
82023
Package ‘gllvm.’
J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton, ...
R Project 326, 2017
62017
Testate amoebae community analysis as a tool to assess biological impacts of peatland use
E Daza Secco, J Haimi, H Högmander, S Taskinen, J Niku, K Meissner
Wetlands ecology and management 26, 597-611, 2018
32018
Fast and universal estimation of latent variable models using extended variational approximations
P Korhonen, FKC Hui, J Niku, S Taskinen
Statistics and Computing 33 (1), 26, 2023
22023
“gllvm: Generalized Linear Latent Variable Models.” R package version 1.2. 3
J Niku, W Brooks, R Herliansyah, FKC Hui, S Taskinen, DI Warton, ...
22020
On modeling multivariate abundance data with generalized linear latent variable models
J Niku
JYU dissertations, 2020
12020
Fungal communities associated with arcto-alpine plants are strongly shaped by regional effects
M Kumar, J Niku, L Antonielli, G Brader, A Sessitsch, S Taskinen, J Dirk, ...
Kumar MGK. Biogeographical diversity of plantassociated microbes in arcto …, 2016
12016
Latenttiin muuttujamalliin perustuva ordinaatiomenetelmä
J Niku
12015
A Comparison of Joint Species Distribution Models for Percent Cover Data
P Korhonen, FKC Hui, J Niku, S Taskinen, B van der Veen
arXiv preprint arXiv:2403.11562, 2024
2024
A large-scale and long-term experiment to identify effectiveness of ecosystem restoration
M Elo, S Kareksela, O Ovaskainen, N Abrego, J Niku, S Taskinen, ...
bioRxiv, 2024.04. 02.587693, 2024
2024
Biplots Based on Latent Variable Models in the Analysis of Ecological Communities
J Niku, S Taskinen
Book of Abstracts, 174, 0
Generalized Linear Latent Variable Models for Multivariate Count
J Niku, DI Warton, FKC Hui, S Taskinen
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Articles 1–19