cond_expr returns moments of conditional multivariate normal distribution X|Y (last variable is dependent). Only expression for X|Y. Requires installation of Maxima software.
cond_expr returns moments of conditional multivariate normal distribution X|Y (last
variable is dependent). Only expression for X|Y. Requires installation of Maxima software.
cond_expr(neq, sdv, mv, nconteq = neq - 1, tex = FALSE)
neq |
Number of equations/variables. |
sdv |
Vector of standard deviation of normally distributed variables, e.g. c(NA, NA, NA, 1) NA - unknown, any number - know. |
mv |
Vector of means of normally distributed variables, e.g. rep(0, 4). |
nconteq |
Number of continuous equations. |
tex |
i if |
List of strings. First element is an expression of conditional mean and covariance. The second element is a TeX formula.
# this means that E[y3|y1,y2] and V[y3|y1,y2] will be returned # all continuous w/ unknown means ## Not run: # To run this, one needs to install Maxima software res <- cond_expr(neq=3) # 3 continuous w/ unknown means and the last one with mean 0 and sd 1, d|c1c2c3 res <- cond_expr(neq=4, sdv=c(NA, NA, NA, 1), mv=c(NA, NA, NA, 0)) # 2 continuous w/ unknown means and 2 discrete with mean 0 and sd 1, d1|c1c2c3d2 res <- cond_expr(neq=4, sdv=c(NA, NA, 1, 1), mv=c(NA, NA, 0, 0), nconteq=2) ## End(Not run)
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