Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
2
votes
1
answer
6k
views
Problems optimizing a likelihood function in R
I'm trying to maximize the log-likelihood $y_1 \log(p_1) + (1-y_1)\log(p_1) + y_2\log(p_2) + (1-y_2)\log(p_2)$. I have data on success of an experiment. Y identifies if person died or not, and X ident …
1
vote
1
answer
3k
views
How to define contrast coefficient matrix?
I have this data
data <- as.data.frame(cbind(y,x1,x2,pre))
data$x1 <- as.factor(data$x1)
data$x2 <- as.factor(data$x2)
data$x1 <- C(data$x1, contr.treatment, base=3)
data$x2 <- C(data$x2, contr.tre …
1
vote
1
answer
458
views
How do I fit a constrained regression in R?
I haven't done this kind of thing before, and I'd like to have some help to solve this issue in R. I observe $z_i$ (money) and four characteristics of population. … From this I can find $$\frac{D_2}{D_1} = \tilde{\alpha} + \tilde{\beta} \qquad \frac{D_3}{D_1} = 1 - \tilde{\beta} \qquad \frac{D_4}{D_1} = \tilde{\alpha}$$
I want to estimate the equation above in R …
3
votes
1
answer
2k
views
How can I make a predict plot varying two variables in R?
I guess I could do that using predict() function in R, but I am running a model that does not have such function developed yet. …
1
vote
1
answer
4k
views
Code Problem in Lognormal Bayesian Model in JAGS/WinBUGS
head(x)
gdp.cap bf.cap
1 8.789771 0.03911118
2 10.204732 0.02341257
3 6.890112 0.04160150
4 9.178957 0.03892352
5 9.384171 0.03880186
6 9.562188 0.04165802
I'm calling JAGS from R … for (j in 1:K) { # b are the number betas to be estimated
beta[j] ~ dnorm(m[j], prec[j])
}
# Prior for precision of Y
tau ~ dgamma(tau.a, tau.b)
sigma <- 1/sqrt(tau)
}
2) In R: …