3,745 questions
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glmmTMB issue with number of observations and groups
I have a dataset with 125 animals across 3 sites and 100500 observations. Both show up properly when looking at the structure of the data but when I run the model with an updated data frame (I added a ...
- 13
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9
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Logistic regression variables correlation but low GVIF
I'm making a logistic regression model to predict female presence on boards in tech SMEs. I was going to take out companies with only 1 employee, as they don't have boards, but my supervisor told me ...
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1
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44
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R: predict.glm for a logistic input produces a linear model [duplicate]
I've got a bit of a headscratcher from what I thought was going to be a routine fit. The logistic regression model I fit through the glm function instead gives a linear model when I use the predict ...
- 339
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1
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64
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Why is glmer function for logistic regression taking so long to run in R?
I am running a multiple logistic regression model. The dataset has ~350,000 observations, with the outcome being a binary 0/1 dichotomous variable. Most predictors are also dichotomous but there are ...
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30
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rms::pentrace() grid set-up
In the R package rms, the pentrace() function enables penalized maximum likelihood estimation on a regression model that was initially fitted using unpenalized methods. The function needs a grid of ...
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73
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Offsetting in rms::lrm ... error: sformula not found? [duplicate]
I am trying to fit a model into an lrm framework so I can bootstrap it with validate. The model has already been developed elsewhere. However, when I use an offset term to account for coefficients ...
- 249
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1
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45
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Transition from frequentist logistic regression to Bayesian logistic regression
I have been trying to solve this issue with my code for a few weeks now. Ultimately, I need the ParameterEstimates and OddsRatios tables as output.
When I try to run a frequentist logistic regression ...
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39
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Implementing survey weights in statsmodels OrderedModel ordinal logistic regression
I am trying to run an ordinal logistic regression on survey data and implementing existing survey weights (stored in a column in the dataframe) in the model. I am using statsmodels.miscmodels....
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1
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54
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Do Evaluate process in Palantir Foundry Model Training parameters (mean, sd) from "Train data" to "Test data"?
If I understand the process correctly, when scaling test data in machine learning, you should use the scaling parameters (like mean and standard deviation) learned from the training data to transform ...
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29
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Partial derivative of logistic function for Levenberg-Marquardt
I am trying to write code that will fit logistic function to set of data. I am using Levenberg-Marquardt routine (as given in Numerical Recipes 3rd edition) and that requires me to supply a function ...
- 2,658
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"param = glm" gave a singular matrix warning while "param = ref" did not
I'm conducting a multinomial logistic regression model using proc logistic in SAS with around 3.6 million observations, an outcome with 5 levels, and dozens of categorical predictors. I had no issue ...
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2
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2
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61
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How to make a probability figure using a logistic regression?
I am trying to remake this figure with my data.
I have 2 binary factors (P treatment & Embryo_Presence_vs._Absence) and 1 continuous value (Final_Size). Here is my data:
print.data.frame(x[c(&...
- 89
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1
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86
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Trying to understand differences in weighted logistic regression outputs between Statsmodels and R's survey & srvyr packages
I have a fictional weighted survey dataset that contains information about respondents' car colors and their response to the question "I enjoy driving fast." I would like to perform a ...
- 914
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118
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Issues using GTSummary with Survey Package: Variable Column not found
So, I am running a logistic regression analysis and I finished using the survey package. Everything went smoothely. Now, I am trying to make tables using GT Summary and running into major issues. I ...
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108
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Format and significant figures of p-values in tbl_regression
I'm using tbl_regression to generate a table of results for a multiple logistic regression model. However, I'm running into trouble formatting the p-values.
When I run this code:
t1 <- ...