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Weighted least squares with speedglm

score 240 · Answer 1 · 2017-01-05 11:31:04

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Weighted least squares with speedglm

240 views Asked by Tony At 05 January 2017 at 11:31

score 151 · Answer 2 · 2017-12-09 08:59:21

Interaction effect plots with speedglm output

151 views Asked by deca At 09 December 2017 at 08:59

score 2944 · Answer 3 · 2017-05-26 18:21:35

Why is `speedglm` slower than `glm`?

2.9k views Asked by hxd1011 At 26 May 2017 at 18:21

score 307 · Answer 4 · 2018-05-24 08:05:20

R: speedglm predict does not work, can i modify object?

307 views Asked by HeyJane At 24 May 2018 at 08:05

score 413 · Answer 5 · 2019-12-18 00:39:29

Why does broom::tidy occasionally return a wrong type of 'estimate' with speedglm?

413 views Asked by Zhiqiang Wang At 18 December 2019 at 00:39

score 300 · Answer 6 · 2019-10-16 09:19:22

Speeglm $ operator is invalid for atomic vectors

300 views Asked by adrCoder At 16 October 2019 at 09:19

score 420 · Answer 7 · 2019-11-03 00:59:57

lapply, glm, and speedglm inside a function: argument "data" is missing, with no default

420 views Asked by Zhiqiang Wang At 03 November 2019 at 00:59

score 284 · Answer 8 · 2021-11-24 15:12:16

fitted values from speedglm() look very different from fitted values with glm()

284 views Asked by C.Robin At 24 November 2021 at 15:12

score 497 · Answer 9 · 2016-11-13 15:35:13

Cross-validation with speedglm for logistic regression in R?

497 views Asked by Steven Barkin At 13 November 2016 at 15:35

score 183 · Answer 10 · 2016-11-22 08:11:04

Running speedlm on weighted data with missing values

183 views Asked by eliavs At 22 November 2016 at 08:11

TechQA.

List Question

Weighted least squares with speedglm

Interaction effect plots with speedglm output

Why is `speedglm` slower than `glm`?

R: speedglm predict does not work, can i modify object?

Why does broom::tidy occasionally return a wrong type of 'estimate' with speedglm?

Speeglm $ operator is invalid for atomic vectors

lapply, glm, and speedglm inside a function: argument "data" is missing, with no default

fitted values from speedglm() look very different from fitted values with glm()

Cross-validation with speedglm for logistic regression in R?

Running speedlm on weighted data with missing values

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