4
Modello di storia degli eventi a tempo discreto (Sopravvivenza) in R
Sto cercando di adattare un modello a tempo discreto in R, ma non sono sicuro di come farlo. Ho letto che puoi organizzare la variabile dipendente in diverse righe, una per ogni osservazione temporale e utilizzare la glmfunzione con un collegamento logit o cloglog. In questo senso, ho tre colonne: …
10
r
survival
pca
sas
matlab
neural-networks
r
logistic
spatial
spatial-interaction-model
r
time-series
econometrics
var
statistical-significance
t-test
cross-validation
sample-size
r
regression
optimization
least-squares
constrained-regression
nonparametric
ordinal-data
wilcoxon-signed-rank
references
neural-networks
jags
bugs
hierarchical-bayesian
gaussian-mixture
r
regression
svm
predictive-models
libsvm
scikit-learn
probability
self-study
stata
sample-size
spss
wilcoxon-mann-whitney
survey
ordinal-data
likert
group-differences
r
regression
anova
mathematical-statistics
normal-distribution
random-generation
truncation
repeated-measures
variance
variability
distributions
random-generation
uniform
regression
r
generalized-linear-model
goodness-of-fit
data-visualization
r
time-series
arima
autoregressive
confidence-interval
r
time-series
arima
autocorrelation
seasonality
hypothesis-testing
bayesian
frequentist
uninformative-prior
correlation
matlab
cross-correlation