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author | Johannes Ranke <jranke@uni-bremen.de> | 2020-03-30 14:16:29 +0200 |
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committer | Johannes Ranke <jranke@uni-bremen.de> | 2020-03-30 14:16:29 +0200 |
commit | c3c39413a040a7d6eb36d7ebade551fa830499f8 (patch) | |
tree | b7b4edbe984cc5ccda0163d75c1ebcf0ebfdfbf3 /man | |
parent | 405cde11f9f26fcab0742e84c110cf3dcb2a4c1f (diff) |
Fixed example code
Diffstat (limited to 'man')
-rw-r--r-- | man/memkin.Rd | 28 |
1 files changed, 20 insertions, 8 deletions
diff --git a/man/memkin.Rd b/man/memkin.Rd index cda9b468..8ae6100a 100644 --- a/man/memkin.Rd +++ b/man/memkin.Rd @@ -4,15 +4,18 @@ \alias{memkin} \title{Estimation of parameter distributions from mmkin row objects} \usage{ -memkin(object, ...) +memkin(object, random_spec = "auto", ...) } \arguments{ \item{object}{An mmkin row object containing several fits of the same model to different datasets} +\item{random_spec}{Either "auto" or a specification of random effects for \code{\link{nlme}} +given as a character vector} + \item{...}{Additional arguments passed to \code{\link{nlme}}} } \value{ -A fitted object of class 'memkin' +An nlme object } \description{ This function sets up and attempts to fit a mixed effects model to @@ -55,18 +58,27 @@ m_fomc_sfo <- mkinmod(parent = mkinsub("FOMC", "A1"), A1 = mkinsub("SFO")) m_dfop_sfo <- mkinmod(parent = mkinsub("DFOP", "A1"), A1 = mkinsub("SFO")) +m_sforb_sfo <- mkinmod(parent = mkinsub("SFORB", "A1"), + A1 = mkinsub("SFO")) f_2 <- mmkin(list("SFO-SFO" = m_sfo_sfo, "SFO-SFO-ff" = m_sfo_sfo_ff, "FOMC-SFO" = m_fomc_sfo, - "DFOP-SFO" = m_dfop_sfo), + "DFOP-SFO" = m_dfop_sfo, + "SFORB-SFO" = m_sforb_sfo), ds_2) f_nlme_sfo_sfo <- memkin(f_2[1, ]) -\dontrun{f_nlme_sfo_sfo_ff <- memkin(f_2[2, ])} # does not converge with maxIter = 50 +f_nlme_sfo_sfo_2 <- memkin(f_2[1, ], "pdDiag(parent_0 + log_k_parent_sink + log_k_parent_A1 + log_k_A1_sink ~ 1)") # explicit +f_nlme_sfo_sfo_3 <- memkin(f_2[1, ], "pdDiag(parent_0 + log_k_parent_sink + log_k_parent_A1 ~ 1)") # reduced +f_nlme_sfo_sfo_4 <- memkin(f_2[1, ], "pdDiag(parent_0 + log_k_parent_sink ~ 1)") # further reduced +\dontrun{ + f_nlme_sfo_sfo_ff <- memkin(f_2[2, ]) # does not converge with maxIter = 50 +} f_nlme_fomc_sfo <- memkin(f_2[3, ]) -\dontrun{f_nlme_dfop_sfo <- memkin(f_2[4, ]) # apparently underdetermined} -anova(f_nlme_sfo_sfo, f_nlme_fomc_sfo) -# The FOMC variant has a lower AIC and has significantly higher likelihood -update(f_nlme_fomc_sfo) +\dontrun{ + f_nlme_dfop_sfo <- memkin(f_2[4, ]) # apparently underdetermined + f_nlme_sforb_sfo <- memkin(f_2[5, ]) # also does not converge +} +anova(f_nlme_fomc_sfo, f_nlme_sfo_sfo, f_nlme_sfo_sfo_4) } |