DORSETRIGS
Home

mgcv (12 post)


posts by category not found!

Calculate AUC and variables importance in mcgv::gam in R

Understanding and Measuring Model Performance in Generalized Additive Models GAMs with mcgv Generalized Additive Models GAMs offer a powerful and flexible appro

3 min read 05-10-2024 50
Calculate AUC and variables importance in mcgv::gam in R
Calculate AUC and variables importance in mcgv::gam in R

How to Plot Difference Smooth with confidence Intervals using gamm4 in R

How to Plot Difference Smooth with Confidence Intervals Using gamm4 in R In statistical modeling one often encounters the challenge of visualizing the effects o

3 min read 25-09-2024 73
How to Plot Difference Smooth with confidence Intervals using gamm4 in R
How to Plot Difference Smooth with confidence Intervals using gamm4 in R

Step failure (and iteration limit) in multinomial GAM with mgcv in R

Understanding Step Failure and Iteration Limit in Multinomial GAM with mgcv in R Introduction In statistical modeling particularly when using Generalized Additi

3 min read 17-09-2024 52
Step failure (and iteration limit) in multinomial GAM with mgcv in R
Step failure (and iteration limit) in multinomial GAM with mgcv in R

gam function output (mgcv package)

Understanding the Output of the gam Function in the mgcv Package The mgcv package in R is widely used for fitting Generalized Additive Models GAMs which provide

2 min read 16-09-2024 54
gam function output (mgcv package)
gam function output (mgcv package)

Missing category in reference level in multinomial GAM with mgcv in R

Understanding the Missing Category in Reference Level in Multinomial GAM with mgcv in R When working with Generalized Additive Models GAM in R particularly usin

2 min read 16-09-2024 47
Missing category in reference level in multinomial GAM with mgcv in R
Missing category in reference level in multinomial GAM with mgcv in R

Run mgcv package in python via rpy2

Running the mgcv Package in Python using rpy2 The mgcv package is a powerful tool for fitting generalized additive models GAMs in R providing users with flexibi

2 min read 15-09-2024 68
Run mgcv package in python via rpy2
Run mgcv package in python via rpy2

R: varying-coefficient GAMM models in mgcv - extracting 'by' variable coefficients?

Unveiling the Hidden Coefficients Extracting by Variable Effects in mgcvs Varying Coefficient GAMMs Generalized Additive Models GAMs are powerful tools for anal

3 min read 06-09-2024 54
R: varying-coefficient GAMM models in mgcv - extracting 'by' variable coefficients?
R: varying-coefficient GAMM models in mgcv - extracting 'by' variable coefficients?

mgcv predict.gam in R version 4 gives error, in R version 3, no error

R Version 4 predict gam Error A Guide to Troubleshooting The predict gam function in R version 4 can sometimes throw an error especially when working with model

2 min read 02-09-2024 55
mgcv predict.gam in R version 4 gives error, in R version 3, no error
mgcv predict.gam in R version 4 gives error, in R version 3, no error

Effects Contrast Matrix for Interaction with Multiple Grand Means

Deep Dive into Effects Contrast Matrices with Multiple Grand Means A Practical Guide This article delves into the complexities of using effects contrast matrice

2 min read 31-08-2024 54
Effects Contrast Matrix for Interaction with Multiple Grand Means
Effects Contrast Matrix for Interaction with Multiple Grand Means

Prediction values don't match fitted function from GAM model

Why Your GAM Predictions Dont Match Your Fitted Function A Deep Dive When working with Generalized Additive Models GAMs its crucial to understand how prediction

2 min read 30-08-2024 54
Prediction values don't match fitted function from GAM model
Prediction values don't match fitted function from GAM model

structure of multinomial model in mgcv

Understanding the Structure of Multinomial Models in mgcv This article delves into the structure of multinomial models within the mgcv package in R specifically

3 min read 30-08-2024 52
structure of multinomial model in mgcv
structure of multinomial model in mgcv

SVC GAM in the presence of factor variable and transformation of coefficients into relative risk

SVC GAM with Factor Variables and Relative Risk Interpretation This article explores how to handle factor variables within a spatially varying coefficient SVC g

2 min read 27-08-2024 62
SVC GAM in the presence of factor variable and transformation of coefficients into relative risk
SVC GAM in the presence of factor variable and transformation of coefficients into relative risk