confint.jointmeta1SE |
Extract confidence intervals |
fixef.jointmeta1 |
Extract fixed effects |
formula.jointmeta1 |
Extract formulae from joint model fit |
JMfits |
Study specific joint model fits using the JM package |
JMfits2 |
Study specific joint model fits using the JM package |
joineRfits |
Study specific joint model fits using the joineR package |
joineRfits2 |
Study specific joint model fits using the joineR package |
jointmeta1 |
One stage joint meta function |
jointmeta1.object |
Fitted 'jointmeta1' object |
jointmeta1SE.object |
A 'jointmeta1SE' object |
jointmeta2 |
Function to pool joint model fits in two stage MA |
jointmetaplot |
Produce plots of longitudinal and survival outcomes |
jointmetaplotall |
Arrange study plots into a grid |
jointmetaSE |
Bootstrapping function to obtain standard errors for jointmeta1 fit |
onestage0 |
One stage jointmeta1 fit and bootstrapped standard errors |
onestage1 |
One stage jointmeta1 fit and bootstrapped standard errors |
onestage2 |
One stage jointmeta1 fit and bootstrapped standard errors |
onestage3 |
One stage jointmeta1 fit and bootstrapped standard errors |
onestage4 |
One stage jointmeta1 fit and bootstrapped standard errors |
print.jointmeta1 |
Print function for 'jointmeta1' objects |
print.jointmeta1SE |
Print function for 'jointmeta1SE' objects |
rancov |
Function to extract the estimated covariance matrices for the random effects specified in the model |
ranef.jointmeta1 |
Function to extract estimated random effects |
removeafter |
Code to remove longitudinal information recorded after survival outcome |
simdat |
Simulated joint longitudinal and survival dataset containing 5 studies |
simdat2 |
Simulated joint longitudinal and survival dataset containing 3 studies |
simdat3 |
Simulated joint longitudinal and survival dataset containing 5 studies |
simjointmeta |
Simulation of multi-study joint data |
summary.jointmeta1 |
Summary function for jointmeta1 |
tojointdata |
Function to change multi-study data into jointdata format |
vcov.jointmeta1SE |
Extract the variance covariance matrix from the bootstrapped results |