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12
votes
4answers
299 views
Why and when create a R package?
I understand this question is quite a broad one, but I wonder what should be the decisive points in deciding to create (or not) a new package for R. To be more specific, I would add that the question ...
0
votes
0answers
14 views
Multiple-criteria decision analysis packages for Java
Does any multiple criteria decision analysis (MCDA) package/library exist in Java?
I work on ABM modelling and need to do use such a package to guide agents in their assessments. Previously I had ...
0
votes
0answers
14 views
difference between package ‘waveslim’ and 'wavethres' in R
Both are still active projects for wavelet decomposition.
Based on your experience, is there a difference in approach? Things that one can do but not the other one?
Thanks
0
votes
2answers
109 views
Feature Selection Packages in R
I am very new to R. I am learning machine learning right now.
Very sorry, if this question appears to be very basic.
I am trying to find a good feature selection package in R.
I went through Boruta ...
1
vote
1answer
90 views
Multivariate Weighted Linear Regression
Very simple. I am looking for a package that does Multivariate Linear Regression with weights on the observations. Does anyone know of a package that does this? I am shocked that I have not been ...
0
votes
0answers
119 views
What are some software packages for doing panel aggregated logistic regression with no random or fixed effect intercept (not SAS)?
I am interested in doing Panel Aggregated Logistic Regression (aka Panel Binomial Logistic regression) without random intercept and I was wondering if anyone could suggest some existing packages.
...
4
votes
2answers
143 views
Entropy-based methods in R
I was wondering if anybody knows of the existence of an R package which implements entropy-based methods (maximum empirical likelihood, maximum exponential empirical likelihood, minimum discrepancy ...
3
votes
1answer
101 views
Time series regression - ML estimation
I have a linear regression model with some correlated errors: $Y_t=\beta_0+\beta_1X_1+\beta_2X_2+\epsilon_t$, where $\epsilon_t$ is a AR(1) i.e. $\epsilon_t=\phi\epsilon_{t-1}+\nu_t$ with $\nu_t$ as ...
2
votes
1answer
133 views
Interaction depth parameter in GBM
In the GBM package one is supposed to be able to provide interaction.depth>2, which means higher-order interactions between features.
However, the resulting trees (as seen by pretty.gbm.tree) never ...
0
votes
0answers
41 views
Confidence interval in sspir package (state space model)
Has anyone have plot a confidence interval for the latent process, using the sspir package?
I am able to plot the estimates, but so far haven't been able to include the confidence intervals.
Any ...
0
votes
0answers
73 views
where's the function “arimax” in TSA? [closed]
In the latest version of TSA package (0.99), there's no function arimax(),
can anyone tell me why? Is there anything wrong with the function or is there another way ...
2
votes
1answer
295 views
Forecasting hierarchical time series R package
I have to forecast a large set of (hierarchical) time series and since the R package hts allows for confidence intervals for their ensemble, I'd like to use it. I haven't found an example of how to ...
0
votes
0answers
130 views
google adwords package? [closed]
Google searching returned nothing - so I ask you ... is there, or is someone working on, an R wrapper/interface to Google Adwords API in the same vein as the googlevis package?
Not a hard core ...
2
votes
1answer
1k views
What are some useful guidelines for GBM parameters?
What are some useful guidelines for testing parameters (i.e. interaction depth, minchild, sample rate, etc.) using GBM?
Let's say I have 70-100 features, a population of 200,000 and I intend to test ...
1
vote
0answers
117 views
Is there a package in R that calculates the Durbin-Watson test assuming a weighted regression?
There are several packages that can apply the Durbin-Watson test for serial correlation. However, I do not see a package that supports the calculation in the case that once has a GLS weighted ...
3
votes
1answer
825 views
Constrained Optimization library for equality and inequality constraints
Any recommendations for choice of a constrained optimization library suitable for my optimization function? I am minimizing a i) non-linear function with linear equality and inequality constraints, ...
