Tcells2: Tcells2: an R package to estimate cell dynamics with mixed...
In gmonette/Tcells2: Fits Tcell dynamic models with mixed models and STAN
Description
Collection of functions for analysis of Tcell dynamics
Usage
1
Tcells2()
Functions
Expectation:
cond_evConditional expected value at time t+1 given value at time t
cond_ev_kConditional expected value at time t+1 given value at time t
marg_evMarginal expected value over time
Variance:
cond_varConditional variance at time t+1 given value at time t
cond_var_kConditional variance at time t+k given value at time t
marg_varMarginal variance over time
mean_cond_varMean conditional variance over time
var_equationSolves for V in V = A + LVL'
where $L$ is lower triangular using the diagonalization of $L$
var_equation_vecSolves for V in V = A + LVL'
where $L$ is lower triangular using the vectorization of the matrices
gmonette/Tcells2 documentation built on May 17, 2019, 7:25 a.m.
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Description
Collection of functions for analysis of Tcell dynamics
Usage
1 | Tcells2()
|
Functions
Expectation:
cond_evConditional expected value at time t+1 given value at time t
cond_ev_kConditional expected value at time t+1 given value at time t
marg_evMarginal expected value over time
Variance:
cond_varConditional variance at time t+1 given value at time t
cond_var_kConditional variance at time t+k given value at time t
marg_varMarginal variance over time
mean_cond_varMean conditional variance over time
var_equationSolves for V in V = A + LVL' where $L$ is lower triangular using the diagonalization of $L$
var_equation_vecSolves for V in V = A + LVL' where $L$ is lower triangular using the vectorization of the matrices
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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