abline.color | abline.color (Autograph) |
abline.color.box | abline.color.box (Autograph) |
align.around.decimal.point | Pad Numeric Vector Around Decimal Point |
amber | amber |
apple | apple |
asNumeric | Convert Character to Numeric with NA Substitution |
as.tornado | Coerce to Tornado |
as.tornado.data.frame | Coerce to Tornado from data.frame |
blue | blue |
bootstrap.ParTab | Create Parameter Table from NONMEM Bootsrap |
boxcoxf | Apply a Box-Cox Transformation to a Vector |
box.plot.color | box.plot.color (Autograph) |
brown | brown |
catDataFun | Summary: length (%) |
cfc | Create a Vector, Matrix, or Data Frame from Clipboard object |
cobalt | cobalt |
conDataFun1 | Summary: mean (SD) |
conDataFun2 | Summary: median (min - max) |
conDataFun3 | Summary: (95%.lower - 95%.upper) |
convert.omega | Omega Names Conversion |
convert.sigma | Sigma Names Conversion |
covInfo | Make a covInfo S3 object |
crimson | crimson |
ctc | Copy a data.frame or matrix to clipboard |
cut3 | Divide numeric variable into bins |
cyan | cyan |
doubleStack | Stack a Value Twice by Two Covariates |
emerald | emerald |
eval.eqs | Evaluate a list of equations |
example.CWRES.plot | Examples for qPharmetra style CWRES plot |
example.NONMEM.dataset | Examples for qPharmetra style NONMEM data set |
example.pkpdData | Examples for qPharmetra style PKPD data set |
example.xpose.VPC | qPharmetra examples for plot, VPC and NONMEM dataset |
expand.data | Multiply data.frames |
extract.character | Extract character information from a string |
extract.number | Takes character string and parses the numeric input from it,... |
extract.varcov | Get the covariance matrix from an already parsed .cov output... |
formalize | Formalize Something |
formalize.data.frame | Formalize Data Frame |
format.demoTable | Format a tabulated summary for LaTeX |
formatted.signif | Forced length significant digits |
full.names | swaps shorthand / abbreviated column names in data frame for... |
fxs | Fixed character length of a String |
geomean | Geometric Mean |
get.covmat | Get the covariance matrix |
get.description | Scan the runrecord tag for 'Description' |
get.diag.names | Find diagonal OMEGA names |
get.dOFV | Create brief NONMEM run record |
get.eigen | NONMEM run Eigen values |
get.multiple.xpose.tables | Get xpose tables of multiple runs |
get.nm.version | NONMEM version used |
get.npar | Calculate Number of Parameters |
get.ofv | Objective Function Value parser |
get.omega | Summary: OMEGA estimates |
get.omega.npar | Calculate Number of Omegas |
get.shrinkage | NONMEM shrinkage estimates |
get.sigma | Summary: SIGMA estimates |
get.sigma.npar | Calculate Number of Sigmas |
get.theta | Summary: THETA estimates |
get.theta.npar | Calculate number of Thetas |
get.xpose.tables | Get NONMEM output tables into one data frame |
ggvpc_standard | VPC plot using ggplot2 (standard) |
ggvpc_xpose | VPC plot using ggplot2 (Xpose-alike version) |
gray | gray |
green | green |
histogram.bootstrap | Bootstrap Histograms |
histogram.color | histogram.color (Autograph) |
indigo | indigo |
insert.blank.line | Inserting blank lines in a table (alias) |
insert.blanks | Inserting blank lines in a table |
ipred.color | ipred.color (Autograph) |
isMissing | Check for missing values |
isNumeric | Check for numeric values |
ketchup | ketchup |
latex.update.glosssaries | Update Glossaries |
LIBRARY | Load a Specific Package Version |
lime | lime |
lines.striptext | Count Lines of Striptext |
lin.fit.col | lin.fit.col (Autograph) |
load.data | Loading data of various formats |
locf | Last Observation Carried Forward (LOCF) |
logit | Logit transformation |
logit.inv | Logit Back-transformation |
logTicks | Define ticks for plots with log10 axes |
loi.color | loi.color (Autograph) |
lunique | Number of unique values |
magenta | magenta |
makeCovInfo | Make a list of covInfo objects from a data frame |
make.eqs | Make a list of equations |
make.map | Meta-analysis data tabulation |
makeRandom | Create a control stream for simulation |
make.symmetric | Creat symmetrical matrix |
match.data.frame | Compare two data frames |
mauve | mauve |
meta.map | Draw meta-map |
micro2macro | Convert Micro Parameters to Macro Parameters |
miss.col | Detect differences between two data.frames |
mutate_cond | Conditional Mutate (dplyr) rows that match a specified... |
myPNG | General PNG grpah creator |
nlme.diag | Diagnostic plots for nlme |
nlme.extract | Extract information from nlme object |
nlme.getFixPars | NLME fixed effects and covariance matrix |
nlme.getRanPars | NLME random effects and covariance matrix |
nlme.modeltrail | Model trail / Runrecord for series of nested nlme models |
nlme.predict | Prediction tool for nlme object |
nlme.run | Run an nlme object augmented with model trail info |
nlme.simPars | Simulate from an nlme object |
nlme.vpc | Create VPC output of an nlme object |
nlme.vpcplot | Plot a VPC of an nlme object |
nls.predict | Predict partial residuals from an nls object |
nls.vcov | NLS variance covariance matrix |
nm.compare.plot | Create a runrecord like GOF plot of selected runs |
nm.cormat.extract | Correlation Matrix Extraction |
nm.covmat.extract | Covariance Matrix Extraction |
nm.covplot | Create covariate plot and data |
nm.create.control | Documentation stub Create a control stream for simulation |
nm.extract.ext | NONMEM output extraction using .lst and .ext files |
nm.extract.xml | NONMEM output extraction from XML output |
nm.insert.dose.multiple.compartments | Insert doses in other compartments |
nm.insert.evid2amt0 | Insert doses in other compartments |
nm.modeltrail.graph | Graphical Bayesian model trail |
nm.params.table | Create NONMEM Parameter Estimate Table |
nm.parse2r.operators | Change NONMEM operators into R operators |
nm.parse.control.stream | Parse NONMEM control stream |
nm.process.coveffects | Evaluate equations (as a list of calls) over the covariates... |
nm.process.scm | Parsing SCM output |
nm.read.vpc | Read VPC output |
nm.remove.section | Extract control stream sections |
nm.runtime | NONMEM run time |
nm_unzip | Unzip a NONMEM File |
nm.unzip | Unzip function for zipped PsN output |
nm.vpcplot | Create covariate plot and data |
obs.color | obs.color (Autograph) |
odeSim | ODE simulation with Multiprocessor Computation |
olive | olive |
orange | orange |
orderedNumeric | like as.ordered with extended formatting |
panel.avg.LP | Lattice panel function for average lines |
panel.cwres | Lattice panel function for CWRES plots |
panel.meanspag | Lattice panel function for spagghetti plots with a mean line |
panel.modelfit | Panel function for Residual Variability Plots |
panel.nlme.vpc.obs | Lattice function for observed components of an nlme VPCs |
panel.nlme.vpc.pred | Lattice function for predicted components of an nlme VPCs |
panel.nonmem.vpc | Lattice function for predicted components of a NONMEM VPC |
panel.residual | Panel function for Residual Variability Plots |
panel.superpose.arrows | Panel function for hysteresis plots |
panel.superpose.bubble | Panel function for bubble plots |
panel.thalf | Panel function for elimination half life |
PI.ci.down.arcol | PI.ci.down.arcol (Autograph) |
PI.ci.med.arcol | PI.ci.med.arcol (Autograph) |
PI.ci.up.arcol | PI.ci.up.arcol (Autograph) |
pink | pink |
PI.real.down.col | PI.real.down.col (Autograph) |
PI.real.med.col | PI.real.med.col (Autograph) |
PI.real.up.col | PI.real.up.col (Autograph) |
plot.covEffects | Plot a covariate effects object |
plot.fit | Plotting function for nls.predict and nlme.predict |
plot.tornado | Tornado plots |
png.report | PNG graph for reports generation |
png.slide.full | PNG graph for PowerPoint generation (full size) |
png.slide.semi | PNG graph for PowerPoint generation (semi-full size) |
pred.color | pred.color (Autograph) |
print.covInfo | Print a covInfo S3 object |
process.parTable | Format parameter estimate table |
process.runrec | Format runrecord for reports |
purple | purple |
qp.blue | qp.blue |
qp.colors | qPharmetra Colors |
qp.colors.sorted | qP Colors Sorted |
qp.green | qp.green |
qpToolkit | qpToolkit: Tools for population PK/PD modeling,... |
qP.welcome | Print a welcome message |
qqGamma | Plot QQ Gamma distribution |
read.bootstrap | Documentation stub |
read.ext | Parse the information from the .ext file |
read.mod | Scan NONMEM output file |
read.out | Scan NONMEM output file |
read.runrec | Read the runrecord |
read.vpc | Create covariate plot and data |
red | red |
remove.tex.files | Remove intermediate LaTeX Files |
removeTrailing | Remove trailing items from vector |
reorder.data.frame | Reorder names in a data.frame |
repeat.nth | Hide repetition of character strings |
rgenpois | Sample from Generalized Poisson distribution |
R.installation.validation | R Installation Validation |
rnorm.by.id | Group-wise sampling from normal distribution |
runrec | Construct a Run Record |
sample.by.id | Group-wise sampling from prespecified distribution |
set.trellis.colors | Set Trellis/Lattice colors |
sgeomean.cl.normal | Summary of geometric mean and 95% CI |
shuffle.list | Shuffle/reorder lists |
smooth.ci.color | smooth.ci.color (Autograph) |
smooth.color | smooth.color (Autograph) |
steel | steel |
striptext | Extract Striptext |
striptext.ggplot | Extract Striptext from ggplot |
sunique | Unique values sorted |
superPosition | Superposition of concentration-time profiles |
swap | Exchange Existing set of Values for another set of Values |
table.meta.analysis.summary | Summarize meta-analysis dataset |
tabStats | Table Statistics |
tabSummarize | Tabulate a summary |
tabulate.samples | Summarize endpoints for numeric/non-numeric |
taupe | taupe |
teal | teal |
transform_log10 | Log10 transformation |
transform_micro | Transform Micro Parameters |
trellis.strip.color | Set strip colors to gray scales |
trimSpace | Trimming spaces |
uncertainParams | Sample parameters across uncertainty |
unitDensity | Density plot normalized to unity |
unitHistogram | Histogram normalized to unity |
vec2df | Turn vector into data.frame |
violet | violet |
whichNumeric | Which entries are numeric? |
xml.Extract.NM.Matrix | XML parser for matrices |
xml.Extract.NM.Value | XML parser for vectors |
xscale.components.log10 | Labels 10-logged x axes appropriately in lattice |
xscale.components.log10.3 | Labels 10-logged x axes appropriately in lattice (ticks at... |
yellow | yellow |
yscale.components.log10 | Labels 10-logged y axes appropriately in lattice |
yscale.components.log10.3 | Labels 10-logged y axes appropriately in lattice (ticks at... |
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