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This refers generally to statistical procedures that utilize the probit function. The primary example of this tag is probit regression where the probit transformation of the parameter p of a Bernoulli distribution is used as a link.

4 votes
1 answer
1k views

Comparing two logit or probit curves using a single parameter

From the data collected I fitted a psychometric curve (probit or logit curve), and now I want to compare the results. … ")) ddprob.2.1 <- glm(COND_2.2 ~ cnt, family = binomial(link = "probit")) The plotted curves are shown in the image below. …
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10 votes
1 answer
5k views

Choose best model between logit, probit and nls

100, 100) These numbers correspond to the percentage of correct answers, under 11 different conditions (cnt): cnt <- c(0, 82, 163, 242, 318, 390, 458, 521, 578, 628, 673) Firstly I tried to fit a probit … models I get: resp.mat <- as.matrix(cbind(corr/10, (100-corr)/10)) ddprob.glm1 <- glm(resp.mat ~ cnt, family = binomial(link = "logit")) ddprob.glm2 <- glm(resp.mat ~ cnt, family = binomial(link = "probit
Tommaso's user avatar
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