dieghernan.github.io/tidyterra/in...
dieghernan.github.io/tidyterra/in...
My latest blog post shares these battle-tested configurations.
mickael.canouil.fr/posts/2025-1...
#Quarto #VSCode #Positron #Productivity #DataScience
My latest blog post shares these battle-tested configurations.
mickael.canouil.fr/posts/2025-1...
#Quarto #VSCode #Positron #Productivity #DataScience
Unifying Boxplots: A Multiple Testing Perspective (Gang, Lin, Tong) Tukey's boxplot is a foundational tool for exploratory data analysis, but its classic outlier-flagging rule does not account for the sample size, and subsequent modifications have often been presented as separate, heurist
Unifying Boxplots: A Multiple Testing Perspective (Gang, Lin, Tong) Tukey's boxplot is a foundational tool for exploratory data analysis, but its classic outlier-flagging rule does not account for the sample size, and subsequent modifications have often been presented as separate, heurist
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R (Willer, Ruckdeschel) flowengineR is an R package designed to provide a modular and extensible framework for building reproducible algorithmic workflows for general-purpose machine learning pipe
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R (Willer, Ruckdeschel) flowengineR is an R package designed to provide a modular and extensible framework for building reproducible algorithmic workflows for general-purpose machine learning pipe
spar: Sparse Projected Averaged Regression in R (Parzer, Vana-G\"ur, Filzmoser) Package spar for R builds ensembles of predictive generalized linear models with high-dimensional predictors. It employs an algorithm utilizing variable screening and random projection tools to efficiently han
spar: Sparse Projected Averaged Regression in R (Parzer, Vana-G\"ur, Filzmoser) Package spar for R builds ensembles of predictive generalized linear models with high-dimensional predictors. It employs an algorithm utilizing variable screening and random projection tools to efficiently han
rfBLT: Random Feature Bayesian Lasso Takens Model for time series forecasting (Nguyen, Ho) Time series prediction is challenging due to our limited understanding of the underlying dynamics. Conventional models such as ARIMA and Holt's linear trend model experience difficulty in identifyin
rfBLT: Random Feature Bayesian Lasso Takens Model for time series forecasting (Nguyen, Ho) Time series prediction is challenging due to our limited understanding of the underlying dynamics. Conventional models such as ARIMA and Holt's linear trend model experience difficulty in identifyin
Diagnostics for Semiparametric Accelerated Failure Time Models with R Package afttest (Bae, Choi, Yan et al) The semiparametric accelerated failure time (AFT) model is a useful alternative to the widely used Cox proportional hazard model, which directly links the logarithm of the failure
Diagnostics for Semiparametric Accelerated Failure Time Models with R Package afttest (Bae, Choi, Yan et al) The semiparametric accelerated failure time (AFT) model is a useful alternative to the widely used Cox proportional hazard model, which directly links the logarithm of the failure
nonprobsvy -- An R package for modern methods for non-probability surveys (Chrostowski, Chlebicki, Ber\k{e}sewicz) The following paper presents {nonprobsvy} -- an {R} package for inference based on non-probability samples. The package implements various approaches that can be categorized
nonprobsvy -- An R package for modern methods for non-probability surveys (Chrostowski, Chlebicki, Ber\k{e}sewicz) The following paper presents {nonprobsvy} -- an {R} package for inference based on non-probability samples. The package implements various approaches that can be categorized
SCoRES: An R Package for Simultaneous Confidence Region Estimates (Yu, Schwartzman, Ren et al) The identification of domain sets whose outcomes belong to predefined subsets can address fundamental risk assessment challenges in climatology and medicine. Existing approaches for inverse doma
SCoRES: An R Package for Simultaneous Confidence Region Estimates (Yu, Schwartzman, Ren et al) The identification of domain sets whose outcomes belong to predefined subsets can address fundamental risk assessment challenges in climatology and medicine. Existing approaches for inverse doma
#30DayMapChallenge | Day 11 - Minimal #rstats
(code in alt)
#30DayMapChallenge | Day 11 - Minimal #rstats
(code in alt)
It was a blast! Thanks for having me.
open.spotify.com/episode/6C5L...
#rstats #gischat #rust
It was a blast! Thanks for having me.
open.spotify.com/episode/6C5L...
#rstats #gischat #rust
Thankfully Kjeld managed to look away from it to do a write up on NATO’s PURL, “a kind of transaction account” for military aid.
Thankfully Kjeld managed to look away from it to do a write up on NATO’s PURL, “a kind of transaction account” for military aid.
cepr.org/voxeu/column...
#EconSky
cepr.org/voxeu/column...
#EconSky
- GCN
- GCN (generalized)
- GraphSAGE
- Aggregators
Development based on personal needs, ofc :)
#rstats
github.com/JosiahParry/...
- GCN
- GCN (generalized)
- GraphSAGE
- Aggregators
Development based on personal needs, ofc :)
#rstats
github.com/JosiahParry/...
- Because they can't stop talking about it.
😆
- Because they can't stop talking about it.
😆