Getting p-values for "multinom" in R (nnet package)
How do I get p-values using the multinom function of nnet package in R? I have a dataset which consists of “Pathology scores” (Absent, Mild, Severe) as outcome variable, and two main …
Interpreting R nnet output Multinomial Regression
May 17, 2019 · The nnet:multinom function is a special case of a log-linear model. My favorite reference for these models is Alan Agresti's "Categorical Data Analysis" 2nd ed (or higher) …
How to train and validate a neural network model in R?
I am new to modeling with neural networks, but I managed to establish a neural network with all available data points that fits the observed data well. The neural network was done in R with …
caret - r - choosing correct nnet model - Cross Validated
Apr 23, 2015 · Language: R Background data = 1800 observations (rows) x 5 variables (columns) I am using library (caret) and training regression models using nnet () and would like to know …
Differences between multinomial models (mgcv and nnet)
Apr 23, 2020 · I'm trying to understand the differences I see when applying multinomial logistic regression models in R using nnet and mgcv. For comparison purposes with glm () let's take …
nnet - which neural network to use? - Cross Validated
1) What type of library, for a neural network model, would be best for this type of data (nnet or neuralnet in r) 2) I have been told that this is a regression problem not a classification, …
Example of time series prediction using neural networks in R
Jan 3, 2013 · Anyone's got a quick short educational example how to use neural networks (nnet in R for example) for the purpose of prediction? Here is an example, in R, of a time series T <- …
Relative advantages of nnet, neuralnet, caret and RSNNS packages
Apr 25, 2015 · What are the relative advantages and disadvantages of different packages available for neural networks: nnet, neuralnet, caret and RSNNS? Which is best in terms of …
How to set up and estimate a multinomial logit model in R?
I ran a multinomial logit model in JMP and got back results which included the AIC as well chi-squared p-values for each parameter estimate. The model has one categorical outcome and 7 …
Solved In this section, we are going to use deep neural - Chegg
Apr 5, 2023 · Engineering Computer Science Computer Science questions and answers In this section, we are going to use deep neural networks to perform the same classification task as …